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.
Questions 321–330 of 486
You are configuring an AWS Glue job and need to ensure it processes data optimally. What happens if you set the job to run on a spot instance?
A
Job will fail instantly
B
Job may be interrupted
C
Cost will be maximized
D
No impact on job performance
Spot instances can be interrupted unexpectedly, affecting long-running jobs, while the others misrepresent the behavior.
Which service is primarily used for deploying ML models?
A
Amazon SageMaker
B
AWS Lambda
C
Amazon EC2
D
Amazon DynamoDB
Amazon SageMaker is designed specifically for machine learning model deployment, unlike the other services.
A company needs to process a streaming data source using ML. Which AWS service should they use?
A
AWS Data Pipeline
B
Amazon Kinesis
C
Amazon S3
D
AWS Batch
Amazon Kinesis is tailored for real-time streaming data processing, unlike the other options.
You are configuring a Spark job on AWS Glue. What happens if a job runs out of allocated memory?
A
The job automatically restarts
B
The job fails and stops
C
The job skips the memory limit
D
The job increases memory allocation
If memory is exhausted, the job fails; it cannot recover automatically or increase limit.
Which service automatically scales machine learning models?
A
Amazon SageMaker
B
Amazon EC2
C
AWS Lambda
D
AWS Glue
Amazon SageMaker provides built-in auto-scaling for models; the others do not focus on model scaling.
A company needs real-time predictions without any delays; which architecture should they use?
A
Batch inference
B
Asynchronous prediction
C
Real-time endpoint
D
Scheduled jobs
Real-time endpoints in SageMaker are designed for immediate predictions, unlike batch inference or the other options.
What happens when an AWS S3 bucket policy explicitly denies access to a service?
A
Deny overrides allow permissions
B
Access is still granted
C
Access is explicitly denied
D
Public access is allowed
Explicit denies take precedence over allows in S3 bucket policies, ensuring that access remains denied.
Which service allows you to automate ML model training?
A
SageMaker
B
EC2
C
Lambda
D
RDS
SageMaker is specifically designed for automating ML processes, while the others serve different purposes.
A company needs to classify images using a pre-trained model. What should they use?
A
SageMaker Ground Truth
B
Rekognition
C
Comprehend
D
Lex
Rekognition is an image analysis service, while the others focus on text or conversation analysis.
You are configuring an EMR cluster for a data processing job. What happens if you choose insufficient EC2 instance types?
A
Job runs faster
B
Job fails due to low capacity
C
No impact on job
D
Costs will increase
Choosing insufficient EC2 instance types can lead to capacity issues that cause the job to fail.