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NEW QUESTION 21
A Machine Learning Specialist at a company sensitive to security is preparing a dataset for model training. The dataset is stored in Amazon S3 and contains Personally Identifiable Information (PII).
The dataset:
* Must be accessible from a VPC only.
* Must not traverse the public internet.
How can these requirements be satisfied?

• A. Create a VPC endpoint and use security groups to restrict access to the given VPC endpoint and an Amazon EC2 instance
• B. Create a VPC endpoint and apply a bucket access policy that allows access from the given VPC endpoint and an Amazon EC2 instance.
• C. Create a VPC endpoint and use Network Access Control Lists (NACLs) to allow traffic between only the given VPC endpoint and an Amazon EC2 instance.
• D. Create a VPC endpoint and apply a bucket access policy that restricts access to the given VPC endpoint and the VPC.

Answer: B

Explanation:
Explanation/Reference: https://docs.aws.amazon.com/AmazonS3/latest/dev/example-bucket-policies-vpc-endpoint.html

NEW QUESTION 22
A Machine Learning Specialist needs to be able to ingest streaming data and store it in Apache Parquet files for exploration and analysis. Which of the following services would both ingest and store this data in the correct format?

• A. Amazon Kinesis Data Firehose
• B. Amazon Kinesis Data Streams
• C. Amazon Kinesis Data Analytics
• D. AWSDMS

Answer: B

NEW QUESTION 23
A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.
What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?

• A. Misclassification rate
• B. L1 norm
• C. Receiver operating characteristic (ROC) curve
• D. Root Mean Square Error (RM&)

Answer: C

NEW QUESTION 24
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