A company is building a real-time recommendation system. User click events are streamed through Amazon Kinesis Data Streams. The data science team needs to transform the raw event data by filtering out bot traffic, encoding the 'page_type' categorical field, and aggregating click counts per user every 5 minutes. The transformed data will be stored in Amazon S3 for later analysis. Which approach should the team use?

Use an AWS Lambda function to filter bots and encode 'page_type', then write the processed events to a Kinesis Data Firehose delivery stream that delivers to S3.

Use an AWS Lambda function to process each record, filter bots, encode 'page_type', and write the raw events to S3, then run a separate batch job to aggregate.

Use AWS Glue streaming ETL jobs to read from Kinesis, filter and encode the data, and write the raw events to S3 without aggregation.

Use a Kinesis Data Analytics application with Apache Flink to filter bots, encode 'page_type', and perform a tumbling window aggregation every 5 minutes, then write results to S3.

AWSCertified Machine Learning Engineer - Associate

Domain 1Objective 2

Task 1.2: Transform Data and Perform Feature Engineering MLA-C01 Practice Questions (Page 3)

Part of the Content Domain 1: Data Preparation for Machine Learning (ML) domain, which accounts for 28% of the MLA-C01 exam. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~14–24 in this domain), expect 5–8 from this objective — we provide 25 practice questions to prepare you well beyond it. (estimate)

25questions here

5free pages

9concepts

28%of the exam

Questions 11–15

11foundation · easy
A machine learning team needs to create a labeled dataset for a computer vision project. Which AWS service provides a managed workflow for building and managing labeling jobs with human annotators?
Select an answer first
12application · medium
A company is building a real-time recommendation system. User click events are streamed through Amazon Kinesis Data Streams. The data science team needs to transform the raw event data by filtering out bot traffic, encoding the 'page_type' categorical field, and aggregating click counts per user every 5 minutes. The transformed data will be stored in Amazon S3 for later analysis. Which approach should the team use?
Select an answer first
13foundation · easy
A dataset contains a feature with a small number of missing values. Which data cleaning technique is specifically used to fill those missing values with estimated values?
Select an answer first
14foundation · easy
A machine learning engineer is preparing a dataset for model training and notices that several records contain identical values across all features. Which data cleaning technique should be applied to address this issue?
Select an answer first
15foundation · easy
A data engineer needs to perform complex transformations on a continuous stream of data using a distributed processing engine. Which open-source framework is commonly used for this purpose on AWS?
Select an answer first

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Task 1.2: Transform Data and Perform Feature Engineering MLA-C01 Practice Questions (Page 3)

Questions 11–15

A machine learning team needs to create a labeled dataset for a computer vision project. Which AWS service provides a managed workflow for building and managing labeling jobs with human annotators?

A dataset contains a feature with a small number of missing values. Which data cleaning technique is specifically used to fill those missing values with estimated values?

A machine learning engineer is preparing a dataset for model training and notices that several records contain identical values across all features. Which data cleaning technique should be applied to address this issue?

A data engineer needs to perform complex transformations on a continuous stream of data using a distributed processing engine. Which open-source framework is commonly used for this purpose on AWS?

Keep studying — Content Domain 1: Data Preparation for Machine Learning (ML)