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Snowflake DAA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Data Analysis	30%-32%	- Perform advanced analytics using SQL 1. Aggregate functions 2. Time-series analysis 3. Snowflake-specific analytical features
Data Transformation and Data Modeling	22%-30%	- Transform data using SQL 1. QUALIFY clauses 2. Common Table Expressions (CTEs) 3. Window functions 4. PIVOT/UNPIVOT operations - Design data models 1. Star schema design 2. Data vault models 3. Snowflake schema design
Data Ingestion and Data Preparation	15%-20%	- Perform data discovery to identify what is needed from available datasets 1. Determine the level of data granularity required 2. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE) 3. Query tables to assess data elements and statistics maintained by Snowflake 4. Identify elements required for business goals using BI reports or SQL analysis 5. Evaluate required transformations (table joins, set operations, ASOF JOINS) - Enrich data by identifying and accessing relevant data from the Snowflake Marketplace 1. Create tables and views 2. Find external data sets that correlate with available data 3. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings) - Use a collection system to retrieve data 1. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML) 2. Retrieve data from structured sources (CSV) 3. Retrieve data from unstructured sources 4. Synthetic Data Generation - Prepare data and load into Snowflake 1. Load files using Snowsight 2. Load data from external/internal stages into a table - Use best practice considerations relating to data integrity structures 1. Define primary keys for tables 2. Perform table joins between parent/child tables 3. Implement constraints - Implement data processing solutions 1. Cleanse, conform, and enrich data 2. Use logging and monitoring solutions (auditing, data lineage) 3. Automate and implement data pipelines (scheduling) 4. Respond to processing failures
Data Presentation and Data Visualization	28%-29%	- Integrate with BI tools 1. Power BI integration 2. Other partner visualization tools 3. Tableau integration - Create dashboards 1. Present analytical results 2. Snowsight dashboards

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst is creating a Snowsight dashboard from a shared worksheet. What happens to the access and permissions of the users who initially had sharing privileges on the worksheet?

A) The original users retain access and permissions on the worksheet.
B) The original users gain additional access to the worksheet.
C) The original users temporarily lose access but regain it once the dashboard is created.
D) The original users lose access to the worksheet, their permissions on the worksheet are revoked.

2. What functions should a Data Analyst use to run descriptive analytics on a data set? (Select TWO).

A) ROW_NUMBER
B) REGR_INTERCEPT
C) APPROX_COUNT_DISTINCT
D) AVG
E) REGR_SLOPE

3. A Data Analyst needs to add address details based on a customer's latitude and longitude to a customer sales database. The Analyst found a free Worldwide Address Data listing on the Snowflake Marketplace. The ACCOUNTADMIN placed the data set into a new database called ADDRESS_DATA. The Data Analyst needs to join the ADDRESS_DATA.OPENADDRESS table with the ORDERS table which is stored in the GLOBAL_DWH database. The combined data set needs to be created as a view. How can this be achieved?

A) Create a new schema called ENRICHED in the ADDRESS_DATA database and create this view in the ENRICHED schema.
B) Create a view in the ADDRESS_DATA database.
C) Create a view in the GLOBAL_DWH database.
D) Ask the ACCOUNTADMIN to grant the Data Analyst the IMPORTED_PRIVILEGES on the ADDRESS_DATA database and then create a view in the ADDRESS_DATA database.

4. What will the following query return?
SELECT * FROM testtable SAMPLE BLOCK (0.012) REPEATABLE (99992);

A) A sample of a table in which each block of rows has a 0.012% probability of being included in the sample, with the seed set to 99992.
B) A sample containing 99992 records of a table in which each block of rows has a 0.012% probability of being included in the sample.
C) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample where repeated elements are allowed.
D) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample, with the seed set to 99992.

5. A Data Analyst needs to temporarily hide a tile in a dashboard. The data will need to be available in the future, and additional data may be added. Which tile should be used?

A) Duplicate
B) Unplace
C) Show/Hide
D) Delete

Solutions:

Question # 1
Answer: D

Question # 2
Answer: C,D

Question # 3
Answer: C

Question # 4
Answer: A

Question # 5
Answer: B