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MLS-C01 Dumps PDF – MlS-C01 Exam Questions – Updated Study material

 

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Question #: 1

 

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?

 

AWSDMS
Amazon Kinesis Data Streams
Amazon Kinesis Data Firehose
Amazon Kinesis Data Analytics

 

Answer: C

 

 

Question #: 2

 

A Machine Learning Specialist is using an Amazon SageMaker notebook instance in a private subnet of a corporate VPC. The ML Specialist has important data stored on the Amazon SageMaker notebook instance's Amazon EBS volume, and needs to take a snapshot of that EBS volume. However the ML Specialist cannot find the Amazon SageMaker 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?

 

Amazon SageMaker notebook instances are based on the EC2 instances within the customer account, but they run outside of VPCs.
Amazon SageMaker notebook instances are based on the Amazon ECS service within customer accounts.
Amazon SageMaker notebook instances are based on EC2 instances running within AWS service accounts.
Amazon SageMaker notebook instances are based on AWS ECS instances running within AWS service accounts.

 

Answer: C

 

 

Question #:3

 

A Machine Learning Specialist deployed a model that provides product recommendations on a company's website Initially, the model was performing very well and resulted in customers buying more products on average However within the past few months the Specialist has noticed that the effect of product recommendations has diminished and customers are starting to return to their original habits of spending less The Specialist is unsure of what happened, as the model has not changed from its initial deployment over a year ago Which method should the Specialist try to improve model performance?

 

The model needs to be completely re-engineered because it is unable to handle product inventory changes
The model's hyperparameters should be periodically updated to prevent drift
The model should be periodically retrained from scratch using the original data while adding a regularization term to handle product inventory changes
The model should be periodically retrained using the original training data plus new data as product inventory changes

 

Answer: D

 

 

Question #:4

 

A company is setting up an Amazon SageMaker environment. The corporate data security policy does not allow communication over the internet. How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?

 

Create a NAT gateway within the corporate VPC.
Route Amazon SageMaker traffic through an on-premises network.
Create Amazon SageMaker VPC interface endpoints within the corporate VPC.
Create VPC peering with Amazon VPC hosting Amazon SageMaker.

 

Answer: A

 

 

Question #:5

 

A monitoring service generates 1 TB of scale metrics record data every minute A Research team performs queries on this data using Amazon Athena The queries run slowly due to the large volume of data, and the team requires better performance How should the records be stored in Amazon S3 to improve query performance?

 

CSV files
Parquet files
Compressed JSON
RecordIO

 

Answer: B

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