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NEW QUESTION 13
You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your condo environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?
- A. FastConnect to an on-premises network.
- B. Primary Virtual Network Interface Card (VNIC).
- C. NAT Gateway with public internet access.
- D. Service Gateway with private subnet access.
Answer: C
NEW QUESTION 14
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which TWO should you look for to ensure permissions are set up correctly?
- A. The model artifact is saved to the block volume of the notebook session.
- B. The policy for your user group grants manage permissions for the model catalog in this compartment.
- C. The dynamic group's matching rule exists for notebook sessions in this compartment.
- D. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
- E. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
Answer: B,E
NEW QUESTION 15
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The path to the arhive.zip file.
- B. The compartment of the Data Flow application.
- C. The bucket used to read/write the pySpark script in Object Storage.
- D. The local path to your pySpark script.
- E. The display name of the application.
Answer: C,D,E
NEW QUESTION 16
You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating multiclass classification model?
- A. Mean squared error
- B. F1 Score
- C. Recall
- D. R-Squared
- E. Explained variance score
Answer: B,C
NEW QUESTION 17
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Image classification
- B. Text recognition
- C. Document classification
- D. Key Value extraction
Answer: B
NEW QUESTION 18
You want to write a Python script to create a collection of different projects for your data sci-ence team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?
- A. OCI Console
- B. Programming Language Software Development Kit (SDK)
- C. Mobile App
- D. Command Line Interface (CLI)
Answer: B
NEW QUESTION 19
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Import the REST API
- B. Call the Accented Data Science (ADS) command to enable Al integration
- C. Create and upload execute.py and runtime.yaml
- D. Create and upload the API signing key and config file
Answer: D
NEW QUESTION 20
Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?
- A. Operational monitoring
- B. Validate the model using recent data
- C. Drift monitoring
- D. Redeploy the model
- E. Retrain the model
Answer: B,E
NEW QUESTION 21
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?
- A. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- B. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
- C. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
- D. Adding a single label to an image.
- E. Adding multiple labels to an image.
Answer: B,D,E
NEW QUESTION 22
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- B. The OCI console.
- C. The OCI Cloud Shell, which can be accessed from the console.
- D. The file that was defined for them on the Virtual stachine (VM).
Answer: A
NEW QUESTION 23
You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?
- A. ADS Evaluator
- B. ADS Explainer
- C. EvaluationMetrics
- D. ADSTuner
Answer: C
NEW QUESTION 24
You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?
- A. Feature engineering
- B. Data access
- C. Model type selection
- D. Model validation
Answer: D
NEW QUESTION 25
During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?
- A. On the job run, set the environment variable that helps increase the size of the storage.
- B. Your code using too much disk space. Refactor the code to identify the problem.
- C. Edit the job, change the size of the storage of your job, and start a new job run.
- D. Create a new job with increased storage size and then run the job.
Answer: C
NEW QUESTION 26
You trained a model to predict housing prices for your city. Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?
- A. Explained Variance Score
- B. Weighted Precision
- C. Weighted Recall
- D. Mean Absolute Error
- E. F-1 Score
Answer: A,D
NEW QUESTION 27
As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?
- A. show_in_notebook()
- B. OneHotEncoder()
- C. auto_transform()
- D. DataFramLabelEncode()
Answer: D
NEW QUESTION 28
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud In-frastructure (OCI) Vault to store credentials or other secrets.?
- A. Key rotation reduces risk if a key is ever compromised.
- B. Periodically rotating keys make it easier to reuse key.
- C. Key rotation allows you to encrypt no more than five keys at a time.
- D. Periodically rotating keys limits the amount of data encrypted by one key version.
- E. Key rotation improves encryption efficiency.
Answer: A,B
NEW QUESTION 29
You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?
- A. Data Science Jobs can access OCI resources only via the resource principal.
- B. Some OCI services require authorizations not supported by Data Science Jobs.
- C. Data Science Jobs can access all OCI services.
- D. Data Science Jobs cannot access all OCI services.
Answer: C
NEW QUESTION 30
Which TWO statements are true about published conda environments?
- A. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- B. The odsc conda init command is used to configure the location of published conda en-vironments.
- C. They can be used in Data Science Jobs and model deployments.
- D. Your notebook session acts as the source to share published conda environment with team members.
- E. You can only create published conda environment by modifying a Data Science conde
Answer: B,D
NEW QUESTION 31
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket Which TWO commands are required to publish the conda environment?
- A. odsc conda publish --slug <SLUG>
- B. odsc conda create --file manifest.yaml
- C. odsc conda init -b <your-bucket-name> -a <api_key or resource_principal>
- D. odsc conda list --override
Answer: A,C
NEW QUESTION 32
You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?
- A. OCI Vault
- B. Data Science Artifactory
- C. Model Depository
- D. Model Catalog
Answer: D
NEW QUESTION 33
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?
- A. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- B. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- C. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
- D. Package your personal OC file and keys in the job artifact.
Answer: C
NEW QUESTION 34
You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?
- A. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- B. Reduce the load balancer bandwidth limit so that fewer requests come in.
- C. Update the deployment to add more instances.
- D. Delete the deployment.
- E. Update the deployment to use fewer instances.
Answer: C
NEW QUESTION 35
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