[Jan-2022] The Best Azure Data Engineer Associate Study Guide for the DP-200 Exam
DP-200 certification guide Q&A from Training Expert ActualPDF
Exam Topics and Subtopics
To be able to pass the exam, you should cover its content with great deliberation. Therefore, you need to be ready to learn a lot. Thus, Microsoft DP-200 contains the following domains that you should explore:
- Management and development of data processing (25-30%)
This section includes two subtopics that cover the development of batch processing and streaming solutions. In these areas, you will be evaluated in creating activities and pipelines, linked services and datasets, ingesting data into Azure Databricks, selecting the appropriate built-in functions, configuring input and output, etc. The skills in implementing for high availability and disaster recovery, PolyBase, as well as data distribution and partitions for Azure Synapse Analytics are also important. Moreover, you should not avoid learning the details of the implementation for the global distribution and be able to provide access to data to meet the security requirements.
- Implementation of data storage solutions (40-45%)
In this topic, a potential candidate has to know how to implement non-relational and relational data stores. It includes your ability to implement a consistency model in Cosmos DB, solutions that use Blob storage, Data Lake Storage Gen2, or Cosmos DB, as well as data distribution and partitions for Azure Synapse Analytics. Besides that, the students should have the skills in managing data security, which includes your full understanding of data encryption and data masking implementation.
- Monitoring and optimization of data solutions (30-35%)
As for this domain, you have to know how to monitor data processing and data storage as well as optimize Azure data solutions. These include your understanding of Azure Synapse Analytics, and Stream Analytics. Your skills in implementing Cosmos DB monitoring, Azure Synapse Analytics monitoring, Blob storage monitoring, and auditing by using Azure Log Analytics will be evaluated as well. The topic also contains your knowledge of the configuration of Azure Monitor alerts, monitoring of Stream Analytics, Azure Databricks, Data Factory pipelines, as well as relational and non-relational data stores.
NEW QUESTION 59
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936
You need to create an elastic pool that contains an Azure SQL database named db2 and a new SQL database named db3.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
See the explanation below.
Explanation
Step 1: Create a new SQL database named db3
1. Select SQL in the left-hand menu of the Azure portal. If SQL is not in the list, select All services, then type SQL in the search box.
2. Select + Add to open the Select SQL deployment option page. Select Single Database. You can view additional information about the different databases by selecting Show details on the Databases tile.
3. Select Create:
4. Enter the required fields if necessary.
5. Leave the rest of the values as default and select Review + Create at the bottom of the form.
6. Review the final settings and select Create. Use Db3 as database name.
On the SQL Database form, select Create to deploy and provision the resource group, server, and database.
Step 2: Create your elastic pool using the Azure portal.
1. Select Azure SQL in the left-hand menu of the Azure portal. If Azure SQL is not in the list, select All services, then type Azure SQL in the search box.
2. Select + Add to open the Select SQL deployment option page.
3. Select Elastic pool from the Resource type drop-down in the SQL Databases tile. Select Create to create your elastic pool.
4. Configure your elastic pool with the following values:
Name: Provide a unique name for your elastic pool, such as myElasticPool.
Subscription: Select your subscription from the drop-down.
ResourceGroup: Select the resource group.
Server: Select the server
5. Select Configure elastic pool
6. On the Configure page, select the Databases tab, and then choose to Add database.
7. Add the Azure SQL database named db2, and the new SQL database named db3 that you created in Step 1.
8. Select Review + create to review your elastic pool settings and then select Create to create your elastic pool.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/sql-database/sql-database-elastic-pool-failover-group-tutorial
NEW QUESTION 60
You are building an Azure Stream Analytics job that queries reference data from a product catalog file. The file is updated daily.
The reference data input details for the file are shown in the Input exhibit.
The storage account container view is shown in the Refdata exhibit.
You need to configure the Stream Analytics job to pick up the new reference dat a.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-use-reference-data
NEW QUESTION 61
You implement 3 Azure SQL Data Warehouse instance.
You plan to migrate the largest fact table to Azure SQL Data Warehouse The table resides on Microsoft SQL Server on-premises and e 10 terabytes (TB) in size.
Incoming queues use the primary key Sale Key column to retrieve data as displayed in the following table:
You need to distribute the fact table across multiple nodes to optimize performance of the table.
Which technology should you use?
- A. round robin distributed table with clustered index
- B. hash distributed table with clustered ColumnStore index
- C. heap table with distribution replicate
- D. hash distributed table with clustered index
- E. round robin distributed table with clustered ColumnStore index
Answer: B
NEW QUESTION 62
SIMULATION
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10277521
You plan to create large data sets on db2.
You need to ensure that missing indexes are created automatically by Azure in db2. The solution must apply ONLY to db2.
To complete this task, sign in to the Azure portal.
- A. 1. To enable automatic tuning on Azure SQL Database logical server, navigate to the server in Azure portal and then select Automatic tuning in the menu.
2. Select database db4
3. Click the Apply button - B. 1. To enable automatic tuning on Azure SQL Database logical server, navigate to the server in Azure portal and then select Automatic tuning in the menu.
2. Select database db2
3. Click the Apply button
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-automatic-tuning-enable
NEW QUESTION 63 
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10277521
You need to increase the size of db2 to store up to 250 GB of data.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
See the explanation below.
Explanation
1. In Azure Portal, navigate to the SQL databases page, select the db2 database , and choose Configure performance
2. Click on Standard and Adjust the Storage size to 250 GB
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-single-databases-manage
NEW QUESTION 64
Your company manages on-premises Microsoft SQL Server pipelines by using a custom solution.
The data engineering team must implement a process to pull data from SQL Server and migrate it to Azure Blob storage. The process must orchestrate and manage the data lifecycle.
You need to configure Azure Data Factory to connect to the on-premises SQL Server database.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Create a virtual private network (VPN) connection from on-premises to Microsoft Azure.
You can also use IPSec VPN or Azure ExpressRoute to further secure the communication channel between your on-premises network and Azure.
Azure Virtual Network is a logical representation of your network in the cloud. You can connect an on-premises network to your virtual network by setting up IPSec VPN (site-to-site) or ExpressRoute (private peering).
Step 2: Create an Azure Data Factory resource.
Step 3: Configure a self-hosted integration runtime.
You create a self-hosted integration runtime and associate it with an on-premises machine with the SQL Server database. The self-hosted integration runtime is the component that copies data from the SQL Server database on your machine to Azure Blob storage.
Note: A self-hosted integration runtime can run copy activities between a cloud data store and a data store in a private network, and it can dispatch transform activities against compute resources in an on-premises network or an Azure virtual network. The installation of a self-hosted integration runtime needs on an on-premises machine or a virtual machine (VM) inside a private network.
References:
https://docs.microsoft.com/en-us/azure/data-factory/tutorial-hybrid-copy-powershell
NEW QUESTION 65
You are building the data store solution for Mechanical Workflow.
How should you configure Table1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Table Type: Hash distributed.
Hash-distributed tables improve query performance on large fact tables.
Index type: Clusted columnstore
Scenario:
Mechanical Workflow has a named Table1 that is 1 TB. Large aggregations are performed on a single column of Table 1.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute
NEW QUESTION 66
You are the data engineer tor your company. An application uses a NoSQL database to store data. The database uses the key-value and wide-column NoSQL database type.
Developers need to access data in the database using an API.
You need to determine which API to use for the database model and type.
Which two APIs should you use? Each correct answer presents a complete solution.
NOTE: Each correct selection s worth one point.
- A. Table API
- B. SQL API
- C. Gremlin API
- D. MongoDB API
- E. Cassandra API
Answer: D,E
Explanation:
B: Azure Cosmos DB is the globally distributed, multimodel database service from Microsoft for mission-critical applications. It is a multimodel database and supports document, key-value, graph, and columnar data models.
E: Wide-column stores store data together as columns instead of rows and are optimized for queries over large datasets. The most popular are Cassandra and HBase.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/graph-introduction
https://www.mongodb.com/scale/types-of-nosql-databases
Topic 1, Proseware Inc
Background
Proseware, Inc, develops and manages a product named Poll Taker. The product is used for delivering public opinion polling and analysis.
Polling data comes from a variety of sources, including online surveys, house-to-house interviews, and booths at public events.
Polling data
Polling data is stored in one of the two locations:
* An on-premises Microsoft SQL Server 2019 database named PollingData
* Azure Data Lake Gen 2
Data in Data Lake is queried by using PolyBase
Poll metadata
Each poll has associated metadata with information about the poll including the date and number of respondents. The data is stored as JSON.
Phone-based polling
Security
* Phone-based poll data must only be uploaded by authorized users from authorized devices
* Contractors must not have access to any polling data other than their own
* Access to polling data must set on a per-active directory user basis
Data migration and loading
* All data migration processes must use Azure Data Factory
* All data migrations must run automatically during non-business hours
* Data migrations must be reliable and retry when needed
Performance
After six months, raw polling data should be moved to a lower-cost storage solution.
Deployments
* All deployments must be performed by using Azure DevOps. Deployments must use templates used in multiple environments
* No credentials or secrets should be used during deployments
Reliability
All services and processes must be resilient to a regional Azure outage.
Monitoring
All Azure services must be monitored by using Azure Monitor. On-premises SQL Server performance must be monitored.
NEW QUESTION 67
You have an Azure subscription that contains an Azure Databricks environment and an Azure Storage account.
You need to implement secure communication between Databricks and the storage account.
You create an Azure key vault.
Which four actions should you perform in sequence? To answer, move the actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Mount the storage account
Step 2: Retrieve an access key from the storage account.
Step 3: Add a secret to the key vault.
Step 4: Add a secret scope to the Databricks environment.
Managing secrets begins with creating a secret scope.
To reference secrets stored in an Azure Key Vault, you can create a secret scope backed by Azure Key Vault.
References:
https://docs.microsoft.com/en-us/azure/azure-databricks/store-secrets-azure-key-vault
NEW QUESTION 68
You need to ensure that phone-based poling data can be analyzed in the PollingData database.
How should you configure Azure Data Factory?
- A. Use a tumbling schedule trigger
- B. Use an event-based trigger
- C. Use manual execution
- D. Use a schedule trigger
Answer: D
Explanation:
Explanation
When creating a schedule trigger, you specify a schedule (start date, recurrence, end date etc.) for the trigger, and associate with a Data Factory pipeline.
Scenario:
All data migration processes must use Azure Data Factory
All data migrations must run automatically during non-business hours
References:
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-schedule-trigger
Topic 1, Contoso Ltd
Overview
Current environment
Contoso relies on an extensive partner network for marketing, sales, and distribution. Contoso uses external companies that manufacture everything from the actual pharmaceutical to the packaging.
The majority of the company's data reside in Microsoft SQL Server database. Application databases fall into one of the following tiers:
The company has a reporting infrastructure that ingests data from local databases and partner services.
Partners services consists of distributors, wholesales, and retailers across the world. The company performs daily, weekly, and monthly reporting.
Requirements
Tier 3 and Tier 6 through Tier 8 application must use database density on the same server and Elastic pools in a cost-effective manner.
Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.
A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of server going offline.
Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.
* Tier 1 internal applications on the premium P2 tier
* Tier 2 internal applications on the standard S4 tier
The solution must support migrating databases that support external and internal application to Azure SQL Database. The migrated databases will be supported by Azure Data Factory pipelines for the continued movement, migration and updating of data both in the cloud and from local core business systems and repositories.
Tier 7 and Tier 8 partner access must be restricted to the database only.
In addition to default Azure backup behavior, Tier 4 and 5 databases must be on a backup strategy that performs a transaction log backup eve hour, a differential backup of databases every day and a full back up every week.
Back up strategies must be put in place for all other standalone Azure SQL Databases using Azure SQL-provided backup storage and capabilities.
Databases
Contoso requires their data estate to be designed and implemented in the Azure Cloud. Moving to the cloud must not inhibit access to or availability of data.
Databases:
Tier 1 Database must implement data masking using the following masking logic:
Tier 2 databases must sync between branches and cloud databases and in the event of conflicts must be set up for conflicts to be won by on-premises databases.
Tier 3 and Tier 6 through Tier 8 applications must use database density on the same server and Elastic pools in a cost-effective manner.
Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.
A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of a server going offline.
Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.
* Tier 1 internal applications on the premium P2 tier
* Tier 2 internal applications on the standard S4 tier
Reporting
Security and monitoring
Security
A method of managing multiple databases in the cloud at the same time is must be implemented to streamlining data management and limiting management access to only those requiring access.
Monitoring
Monitoring must be set up on every database. Contoso and partners must receive performance reports as part of contractual agreements.
Tiers 6 through 8 must have unexpected resource storage usage immediately reported to data engineers.
The Azure SQL Data Warehouse cache must be monitored when the database is being used. A dashboard monitoring key performance indicators (KPIs) indicated by traffic lights must be created and displayed based on the following metrics:
Existing Data Protection and Security compliances require that all certificates and keys are internally managed in an on-premises storage.
You identify the following reporting requirements:
* Azure Data Warehouse must be used to gather and query data from multiple internal and external databases
* Azure Data Warehouse must be optimized to use data from a cache
* Reporting data aggregated for external partners must be stored in Azure Storage and be made available during regular business hours in the connecting regions
* Reporting strategies must be improved to real time or near real time reporting cadence to improve competitiveness and the general supply chain
* Tier 9 reporting must be moved to Event Hubs, queried, and persisted in the same Azure region as the company's main office
* Tier 10 reporting data must be stored in Azure Blobs
Issues
Team members identify the following issues:
* Both internal and external client application run complex joins, equality searches and group-by clauses.
Because some systems are managed externally, the queries will not be changed or optimized by Contoso
* External partner organization data formats, types and schemas are controlled by the partner companies
* Internal and external database development staff resources are primarily SQL developers familiar with the Transact-SQL language.
* Size and amount of data has led to applications and reporting solutions not performing are required speeds
* Tier 7 and 8 data access is constrained to single endpoints managed by partners for access
* The company maintains several legacy client applications. Data for these applications remains isolated form other applications. This has led to hundreds of databases being provisioned on a per application basis
NEW QUESTION 69
You manage a financial computation data analysis process. Microsoft Azure virtual machines (VMs) run the process in daily jobs, and store the results in virtual hard drives (VHDs.) The VMs product results using data from the previous day and store the results in a snapshot of the VHD. When a new month begins, a process creates a new VHD.
You must implement the following data retention requirements:
Daily results must be kept for 90 days
Data for the current year must be available for weekly reports
Data from the previous 10 years must be stored for auditing purposes
Data required for an audit must be produced within 10 days of a request.
You need to enforce the data retention requirements while minimizing cost.
How should you configure the lifecycle policy? To answer, drag the appropriate JSON segments to the correct locations. Each JSON segment may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
References:
https://docs.microsoft.com/en-us/powershell/module/az.storage/set-azstorageaccountmanagementpolicy
NEW QUESTION 70
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values.
75% of the rows contain description data that has an average length of 1.1 MB.
You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.
You need to prepare the files to ensure that the data copies quickly.
Solution: You copy the files to a table that has a columnstore index.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Instead convert the files to compressed delimited text files.
Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data
NEW QUESTION 71
You plan to deploy an Azure Cosmos DB database that supports multi-master replication.
You need to select a consistency level for the database to meet the following requirements:
* Provide a recovery point objective (RPO) of less than 15 minutes.
* Provide a recovery time objective (RTO) of zero minutes.
What are three possible consistency levels that you can select? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. Eventual
- B. Strong
- C. Consistent Prefix
- D. Session
- E. Bounded Staleness
Answer: A,C,D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels-choosing
NEW QUESTION 72
You are a data engineer. You are designing a Hadoop Distributed File System (HDFS) architecture. You plan to use Microsoft Azure Data Lake as a data storage repository.
You must provision the repository with a resilient data schema. You need to ensure the resiliency of the Azure Data Lake Storage. What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: NameNode
An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients.
Box 2: DataNode
The DataNodes are responsible for serving read and write requests from the file system's clients.
Box 3: DataNode
The DataNodes perform block creation, deletion, and replication upon instruction from the NameNode.
Note: HDFS has a master/slave architecture. An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients. In addition, there are a number of DataNodes, usually one per node in the cluster, which manage storage attached to the nodes that they run on. HDFS exposes a file system namespace and allows user data to be stored in files. Internally, a file is split into one or more blocks and these blocks are stored in a set of DataNodes. The NameNode executes file system namespace operations like opening, closing, and renaming files and directories. It also determines the mapping of blocks to DataNodes. The DataNodes are responsible for serving read and write requests from the file system's clients. The DataNodes also perform block creation, deletion, and replication upon instruction from the NameNode.
References:
https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html#NameNode+and+DataNodes
NEW QUESTION 73
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936
You need to ensure that all REST API calls to an Azure Storage account named storage10543936 use HTTPS only.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
See the explanation below.
Explanation
You can configure your storage account to accept requests from secure connections only by setting the Secure transfer required property for the storage account.
Require secure transfer for an existing storage account
1. Select the existing storage account storage10543936 in the Azure portal.
2. In the storage account menu pane, under SETTINGS, select Configuration.
3. Under Secure transfer required, select Enabled.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-require-secure-transfer
NEW QUESTION 74
You need to ensure that Azure Data Factory pipelines can be deployed. How should you configure authentication and authorization for deployments? To answer, select the appropriate options in the answer choices.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The way you control access to resources using RBAC is to create role assignments. This is a key concept to understand - it's how permissions are enforced. A role assignment consists of three elements: security principal, role definition, and scope.
Scenario:
No credentials or secrets should be used during deployments
Phone-based poll data must only be uploaded by authorized users from authorized devices
Contractors must not have access to any polling data other than their own
Access to polling data must set on a per-active directory user basis
References:
https://docs.microsoft.com/en-us/azure/role-based-access-control/overview
Topic 2, Contoso Ltd
Overview
Current environment
Contoso relies on an extensive partner network for marketing, sales, and distribution. Contoso uses external companies that manufacture everything from the actual pharmaceutical to the packaging.
The majority of the company's data reside in Microsoft SQL Server database. Application databases fall into one of the following tiers:
The company has a reporting infrastructure that ingests data from local databases and partner services. Partners services consists of distributors, wholesales, and retailers across the world. The company performs daily, weekly, and monthly reporting.
Requirements
Tier 3 and Tier 6 through Tier 8 application must use database density on the same server and Elastic pools in a cost-effective manner.
Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.
A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of server going offline.
Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.
* Tier 1 internal applications on the premium P2 tier
* Tier 2 internal applications on the standard S4 tier
The solution must support migrating databases that support external and internal application to Azure SQL Database. The migrated databases will be supported by Azure Data Factory pipelines for the continued movement, migration and updating of data both in the cloud and from local core business systems and repositories.
Tier 7 and Tier 8 partner access must be restricted to the database only.
In addition to default Azure backup behavior, Tier 4 and 5 databases must be on a backup strategy that performs a transaction log backup eve hour, a differential backup of databases every day and a full back up every week.
Back up strategies must be put in place for all other standalone Azure SQL Databases using Azure SQL-provided backup storage and capabilities.
Databases
Contoso requires their data estate to be designed and implemented in the Azure Cloud. Moving to the cloud must not inhibit access to or availability of data.
Databases:
Tier 1 Database must implement data masking using the following masking logic:
Tier 2 databases must sync between branches and cloud databases and in the event of conflicts must be set up for conflicts to be won by on-premises databases.
Tier 3 and Tier 6 through Tier 8 applications must use database density on the same server and Elastic pools in a cost-effective manner.
Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.
A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of a server going offline.
Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.
* Tier 1 internal applications on the premium P2 tier
* Tier 2 internal applications on the standard S4 tier
Reporting
Security and monitoring Security
A method of managing multiple databases in the cloud at the same time is must be implemented to streamlining data management and limiting management access to only those requiring access.
Monitoring
Monitoring must be set up on every database. Contoso and partners must receive performance reports as part of contractual agreements.
Tiers 6 through 8 must have unexpected resource storage usage immediately reported to data engineers.
The Azure SQL Data Warehouse cache must be monitored when the database is being used. A dashboard monitoring key performance indicators (KPIs) indicated by traffic lights must be created and displayed based on the following metrics:
Existing Data Protection and Security compliances require that all certificates and keys are internally managed in an on-premises storage.
You identify the following reporting requirements:
* Azure Data Warehouse must be used to gather and query data from multiple internal and external Title
databases
* Azure Data Warehouse must be optimized to use data from a cache
* Reporting data aggregated for external partners must be stored in Azure Storage and be made available during regular business hours in the connecting regions
* Reporting strategies must be improved to real time or near real time reporting cadence to improve competitiveness and the general supply chain
* Tier 9 reporting must be moved to Event Hubs, queried, and persisted in the same Azure region as the company's main office
* Tier 10 reporting data must be stored in Azure Blobs
Issues
Team members identify the following issues:
* Both internal and external client application run complex joins, equality searches and group-by clauses. Because some systems are managed externally, the queries will not be changed or optimized by Contoso
* External partner organization data formats, types and schemas are controlled by the partner companies
* Internal and external database development staff resources are primarily SQL developers familiar with the Transact-SQL language.
* Size and amount of data has led to applications and reporting solutions not performing are required speeds
* Tier 7 and 8 data access is constrained to single endpoints managed by partners for access
* The company maintains several legacy client applications. Data for these applications remains isolated form other applications. This has led to hundreds of databases being provisioned on a per application basis
NEW QUESTION 75
Which counter should you monitor for real-time processing to meet the technical requirements?
- A. Concurrent users
- B. SU% Utilization
- C. Data Conversion Errors
Answer: B
Explanation:
D.
Explanation:
Scenario:
Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
The sales data including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics.
Streaming Units (SUs) represents the computing resources that are allocated to execute a Stream Analytics job. The higher the number of SUs, the more CPU and memory resources are allocated for your job. This capacity lets you focus on the query logic and abstracts the need to manage the hardware to run your Stream Analytics job in a timely manner.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit-consumption
NEW QUESTION 76
You use Azure Stream Analytics to receive Twitter data from Azure Event Hubs and to output the data to an Azure Blob storage account.
You need to output the count of tweets during the last five minutes every five minutes. Each tweet must only be counted once.
Which windowing function should you use?
- A. a five-minute Hopping window that has one-minute hop
- B. a five-minute Session window
- C. a five-minute Tumbling window
- D. a five-minute Sliding window
Answer: C
Explanation:
Explanation
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions
NEW QUESTION 77
You develop data engineering solutions for a company. The company has on-premises Microsoft SQL Server databases at multiple locations.
The company must integrate data with Microsoft Power BI and Microsoft Azure Logic Apps. The solution must avoid single points of failure during connection and transfer to the cloud. The solution must also minimize latency.
You need to secure the transfer of data between on-premises databases and Microsoft Azure.
What should you do?
- A. Install an Azure on-premises data gateway at the primary location
- B. Install an Azure on-premises data gateway as a cluster at each location
- C. Install a standalone on-premises Azure data gateway at each location
- D. Install an on-premises data gateway in personal mode at each location
Answer: B
Explanation:
Explanation
You can create high availability clusters of On-premises data gateway installations, to ensure your organization can access on-premises data resources used in Power BI reports and dashboards. Such clusters allow gateway administrators to group gateways to avoid single points of failure in accessing on-premises data resources. The Power BI service always uses the primary gateway in the cluster, unless it's not available.
In that case, the service switches to the next gateway in the cluster, and so on.
References:
https://docs.microsoft.com/en-us/power-bi/service-gateway-high-availability-clusters
NEW QUESTION 78
An application will use Microsoft Azure Cosmos DB as rts data solution.
The application will use the Cassandra API to support a column-based database type that uses containers to store items.
You need to provision Azure Cosmos DB.
Which container name and item name should you use?
Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. collection
- B. graph
- C. rows
- D. table
- E. entities
Answer: A,E
NEW QUESTION 79
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Potential Candidates and Requirements
According to the fact that this is an associate-level certification track, there are no strict requirements that you must fulfill except passing two exams. Thus, if you are planning to take Microsoft DP-200, you can be an Azure Data Engineer who wants to verify the skills to get certified or a specialist who is just starting an IT career. In both cases, you should have a solid knowledge of the content and be able to clear the tests with high results.
A potential candidate for the Microsoft DP-200 exam should know how to identify and meet the requirements by collaborating with the business stakeholders to implement data solutions that use Azure data services. Besides that, it is required that the individuals have the relevant skills in implementing various data solutions, such as Azure Blob storage, Azure Databricks, Azure Data Factory, Azure Stream Analytics, Azure Synapse Analytics, and Azure Cosmos DB. Also, they need to be able to ingest batch and streaming data, provision data storage services, identify performance bottlenecks, implement security requirements, access external data sources, transform data, and implement data retention policies. /
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