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 121–130 of 486

Q121

Which AWS service is best for real-time data streaming?

  • A Amazon Kinesis
  • B AWS Lambda
  • C Amazon S3
  • D Amazon RDS
Explanation Amazon Kinesis is specifically designed for real-time data processing, while others serve different purposes.
Q122

A company needs to build a model with high interpretability for regulatory compliance. Which algorithm should they prefer?

  • A Deep Neural Networks
  • B Random Forests
  • C Support Vector Machines
  • D Linear Regression
Explanation Linear regression is inherently interpretable, unlike complex models.
Q123

What happens when you call a Lambda function configured with a reserved concurrency of 5?

  • A It runs up to 5 instances simultaneously.
  • B It queues the excess invocations.
  • C It errors out on the sixth invocation.
  • D It scales beyond 5 instances automatically.
Explanation It allows up to 5 concurrent executions without queuing or erroring.
Q124

Which service is best for real-time data streaming?

  • A Amazon Kinesis
  • B Amazon S3
  • C AWS Lambda
  • D Amazon EC2
Explanation Amazon Kinesis is designed specifically for real-time data streaming, while the others are not.
Q125

A company needs to deploy a machine learning model with zero downtime. What is the best practice?

  • A Use Blue/Green deployment
  • B Use a single instance
  • C Switch off old version immediately
  • D Deploy during peak traffic
Explanation Blue/Green deployment allows for safe, zero-downtime upgrades by routing traffic between two environments.
Q126

You are configuring an automated ML pipeline using SageMaker. What happens if your input dataset contains missing values?

  • A SageMaker fails the pipeline
  • B SageMaker ignores the entire dataset
  • C SageMaker can complete with imputation
  • D SageMaker only uses complete rows
Explanation SageMaker can handle missing values by using imputation techniques, while the other options aren't valid practices.
Q127

Which service is best for real-time streaming data processing?

  • A Amazon Kinesis
  • B AWS S3
  • C AWS Glue
  • D Amazon RDS
Explanation Amazon Kinesis is designed for real-time data capture, while the others focus on storage or batch processing.
Q128

A company needs to identify fraudulent transactions in real-time. What AWS service should they use?

  • A Amazon SageMaker
  • B AWS Lambda
  • C Amazon CloudWatch
  • D Amazon Athena
Explanation Amazon SageMaker can build, train, and deploy ML models for real-time fraud detection, whereas the others serve different purposes.
Q129

You are configuring an IAM policy. What happens if the policy explicitly denies access?

  • A Access is always denied
  • B Access is granted if allowed elsewhere
  • C Access is conditioned on resource type
  • D Access could be granted temporarily
Explanation An explicit deny in IAM policies takes precedence over any allows.
Q130

Which service is best for real-time streaming analytics?

  • A Kinesis Data Analytics
  • B S3 Select
  • C Batch Technologies
  • D Lambda Functions
Explanation Kinesis Data Analytics specializes in processing stream data in real-time, unlike the other options.