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Question#: 1
A MachineLearning Specialist needs to be able to ingest streaming data and store it inApache Parquet files for exploration and analysis. Which of the followingservices would both ingest and store this data in the correct format?
A. AWSDMS
B. AmazonKinesis Data Streams
C. AmazonKinesis Data Firehose
D. AmazonKinesis Data Analytics
Answer: C
Question#: 2
A MachineLearning Specialist is using an Amazon SageMaker notebook instance in a privatesubnet of a corporate VPC. The ML Specialist has important data stored on theAmazon SageMaker notebook instance's Amazon EBS volume, and needs to take asnapshot of that EBS volume. However the ML Specialist cannot find the AmazonSageMaker notebook instance's EBS volume or Amazon EC2 instance within the VPC.Why is the ML Specialist not seeing the instance visible in the VPC?
A. AmazonSageMaker notebook instances are based on the EC2 instances within the customeraccount, but they run outside of VPCs.
B. AmazonSageMaker notebook instances are based on the Amazon ECS service withincustomer accounts.
C. AmazonSageMaker notebook instances are based on EC2 instances running within AWSservice accounts.
D. AmazonSageMaker notebook instances are based on AWS ECS instances running within AWSservice accounts.
Answer: C
Question#:3
A MachineLearning Specialist deployed a model that provides product recommendations on acompany's website Initially, the model was performing very well and resulted incustomers buying more products on average However within the past few monthsthe Specialist has noticed that the effect of product recommendations hasdiminished and customers are starting to return to their original habits ofspending less The Specialist is unsure of what happened, as the model has notchanged from its initial deployment over a year ago Which method should theSpecialist try to improve model performance?
A. The modelneeds to be completely re-engineered because it is unable to handle productinventory changes
B. Themodel's hyperparameters should be periodically updated to prevent drift
C. The modelshould be periodically retrained from scratch using the original data whileadding a regularization term to handle product inventory changes
D. The modelshould be periodically retrained using the original training data plus new dataas product inventory changes
Answer: D
Question#:4
A company issetting up an Amazon SageMaker environment. The corporate data security policydoes not allow communication over the internet. How can the company enable theAmazon SageMaker service without enabling direct internet access to AmazonSageMaker notebook instances?
A. Create aNAT gateway within the corporate VPC.
B. RouteAmazon SageMaker traffic through an on-premises network.
C. CreateAmazon SageMaker VPC interface endpoints within the corporate VPC.
D. CreateVPC peering with Amazon VPC hosting Amazon SageMaker.
Answer: A
Question#:5
A monitoringservice generates 1 TB of scale metrics record data every minute A Researchteam performs queries on this data using Amazon Athena The queries run slowlydue to the large volume of data, and the team requires better performance Howshould the records be stored in Amazon S3 to improve query performance?
A. CSV files
B. Parquetfiles
C.Compressed JSON
D. RecordIO
Answer: B
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