Amazon AWS

AWS Certified Machine Learning Engineer – Associate

MLA-C01

The AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam validates your skills in building, training, and deploying machine learning models on AWS. It is ideal for those looking to specialize in machine learning.

486 questions 0 views Free
Start Mock Test Timed · Full-length · Scored

Questions 51–60 of 486

Q51

What happens when you set a lower security threshold in AWS IAM?

  • A Reduced permissions granted
  • B Increased access points
  • C Wider user access risk
  • D Enhanced monitoring enabled
Explanation Lower thresholds increase risk of unauthorized access.
Q52

Which service is best for real-time data streaming?

  • A Amazon Kinesis
  • B AWS Lambda
  • C Amazon RDS
  • D Amazon S3
Explanation Amazon Kinesis excels at real-time data streaming, while the others focus on serverless compute, relational databases, and storage.
Q53

You are configuring a model in Amazon SageMaker. What is the main purpose of Feature Engineering?

  • A Deploy the model
  • B Prepare data for training
  • C Monitor model performance
  • D Evaluate model accuracy
Explanation Feature Engineering focuses on preparing and transforming data to improve model accuracy and performance.
Q54

What happens when a Lambda function exceeds its timeout limit?

  • A It automatically retries
  • B It is terminated and returns an error
  • C It continues running indefinitely
  • D It logs the completion without any error
Explanation When a Lambda function exceeds its timeout, it is forcibly terminated, resulting in an error response.
Q55

Which service would you use for real-time data processing?

  • A AWS Lambda
  • B Amazon S3
  • C Amazon RDS
  • D AWS CodePipeline
Explanation AWS Lambda enables real-time processing, whereas S3 is for storage and RDS is for database management.
Q56

A company needs to build a machine learning model that predicts customer churn. What should be their first step?

  • A Deploy the model to production
  • B Collect historical customer data
  • C Select the ML algorithm
  • D Analyze feature importance
Explanation Collecting historical data is essential for training the model effectively, before any model-related actions can occur.
Q57

You are configuring an AWS Glue job. What happens if you set the job's worker type to G.2X?

  • A Slower performance than G.1X
  • B Increased memory and CPU resources
  • C Lower data throughput than G.1X
  • D It's unsupported option in Glue
Explanation The G.2X worker type provides enhanced resources for better performance compared to G.1X.
Q58

Which AWS service enables real-time data processing?

  • A Amazon Kinesis
  • B AWS Lambda
  • C Amazon S3
  • D Amazon Redshift
Explanation Amazon Kinesis is designed for real-time data streaming, while others serve different functions.
Q59

A company needs a way to store structured data for analytics. Which solution should they choose?

  • A Amazon S3
  • B Amazon RDS
  • C AWS Lambda
  • D Amazon DynamoDB
Explanation Amazon RDS is specifically built for structured data storage, while others either focus on unstructured data or event-driven processing.
Q60

You are configuring a machine learning model with automatic hyperparameter tuning. What happens when you set the max number of objective function evaluations too low?

  • A Overfitting occurs in the model
  • B The model won't train
  • C Not all hyperparameters are optimized
  • D Training time increases significantly
Explanation Setting a low max evaluations limits the optimization process, potentially leaving less-than-ideal hyperparameter choices.