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Download AWS Certified Machine Learning - Specialty Exam Dumps

NEW QUESTION 20
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?

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

Answer: B

 

NEW QUESTION 21
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 AnalyticsB. Amazon Kinesis Data FirehoseC. AWSDMSD. Amazon Kinesis Data Streams

Answer: B

 

NEW QUESTION 22
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?

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

Answer: C

Explanation:
https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf (46)

 

NEW QUESTION 23
A Data Engineer needs to build a model using a dataset containing customer credit card information.
How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?

A. Use a custom encryption algorithm to encrypt the data and store the data on an Amazon SageMaker instance in a VPC. Use the SageMaker DeepAR algorithm to randomize the credit card numbers.B. Use an IAM policy to encrypt the data on the Amazon S3 bucket and Amazon Kinesis to automatically discard credit card numbers and insert fake credit card numbers.C. Use an Amazon SageMaker launch configuration to encrypt the data once it is copied to the SageMaker instance in a VPC. Use the SageMaker principal component analysis (PCA) algorithm to reduce the length of the credit card numbers.D. Use AWS KMS to encrypt the data on Amazon S3 and Amazon SageMaker, and redact the credit card numbers from the customer data with AWS Glue.

Answer: D

Explanation:
https://docs.aws.amazon.com/sagemaker/latest/dg/pca.html

 

NEW QUESTION 24
A Machine Learning Specialist is configuring automatic model tuning in Amazon SageMaker When using the hyperparameter optimization feature, which of the following guidelines should be followed to improve optimization?
Choose the maximum number of hyperparameters supported by

A. Amazon SageMaker to search the largest number of combinations possibleB. Use log-scaled hyperparameters to allow the hyperparameter space to be searched as quickly as possibleC. Execute only one hyperparameter tuning job at a time and improve tuning through successive rounds of experimentsD. Specify a very large hyperparameter range to allow Amazon SageMaker to cover every possible value.

Answer: B

 

NEW QUESTION 25
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