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AWS Certified Machine Learning Specialty Questions 2022 - Part 32

Mary Smith

Fri, 17 Apr 2026

AWS Certified Machine Learning Specialty Questions 2022 - Part 32

1. Which of the following statements about Amazon SageMaker Studio is true?

A) SageMaker Studio is a standalone machine learning development environment and does not require integration with other AWS services.
B) SageMaker Studio supports only Python-based machine learning frameworks such as TensorFlow and PyTorch.
C) SageMaker Studio is a fully managed service that provides a web-based integrated development environment (IDE) for building, training, and deploying machine learning models.
D) SageMaker Studio is only available for use with Amazon SageMaker notebooks and cannot be used with other development environments.



2. You are working on a machine learning project that involves analyzing customer sentiment in social media data. You want to visualize the most frequently used words and hashtags in the data to gain insights into the customer sentiment. Which of the following AWS services would you use for data analysis and visualization?

A) Amazon QuickSight
B) Amazon SageMaker
C) Amazon Elastic MapReduce (EMR)
D) Amazon Kinesis Data Streams
E) Amazon Elasticsearch Service


3. You need to audit API activity across multiple AWS accounts and regions. Which of the following statements about AWS CloudTrail is true?

A) AWS CloudTrail can be used to track all activity within an AWS account, including actions performed by IAM users and AWS services.
B) AWS CloudTrail is only available in the US East (N. Virginia) region and cannot be used to monitor activity in other regions.
C) AWS CloudTrail only logs API activity for the last 24 hours and does not provide a long-term storage option.
D) AWS CloudTrail does not log activity for AWS services that were launched before CloudTrail was enabled.



4. Which of the following statements is true regarding AWS Lambda?

A) AWS Lambda functions must be written in Python to be compatible with AWS Lambda.
B) AWS Lambda can run for an unlimited amount of time without any restrictions.
C) AWS Lambda has a built-in load balancer that automatically distributes incoming traffic to function instances.
D) AWS Lambda can only be triggered by events within the AWS ecosystem, such as S3 object uploads or SNS messages.
E) AWS Lambda supports container images as a deployment package, allowing for more customization and control over the environment.


5. You are tasked with designing a data pipeline to stream and store clickstream data from a website using Amazon Kinesis Data Firehose. The website generates around 10,000 records per second, with each record being around 1KB in size. The data pipeline should be cost-effective, durable, and have the lowest possible latency. Which of the following configuration options should you consider to achieve these requirements?

A) Use Amazon S3 as the destination with S3 server-side encryption enabled.
B) Use Amazon Redshift as the destination with COPY command enabled.
C) Use Amazon Elasticsearch as the destination with Elasticsearch service domain.
D) Use Amazon Kinesis Data Firehose data transformation feature to compress data.



1. Right Answer: C
Explanation:

2. Right Answer: E
Explanation:

3. Right Answer: A
Explanation:

4. Right Answer: E
Explanation:

5. Right Answer: A
Explanation:

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