Exam Readiness: AWS Certified ML – Specialty
Questions And Answers 2022
What is AWS Lake Formation - Answer- A central console to discover data
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set up transformation jobs to move data to an Amazon S3 data lake, remove
duplicates and match records, catalog data for access by analytic tools, configure
data access and security policies, and audit and control access from AWS analytic
and machine learning service
Why use AWS Lake Formation? - Answer- Apply access policies with the tool and
manage data ingestion via Glue, among other reasons
What is AWS FindMatches? - Answer- Enables matching records across different
datasets as well as the identification and removal of duplicate records
What five sources can the Data Lake do ETL discovery from? - Answer- S3, RDS,
DynamoDB, CloudTrail and on-premise JDBC sources
What are five ways data can be ingested by AWS Data Lake? - Answer- AWS
Snowball, Snowmobile, Snowball Edge, Storage Gateway and Direct Connect
What encryption is currently supported by AWS Data Lake? - Answer- SSE-S3
What is Amazon FSx for Lustre? - Answer- A fully managed, high-performance file
system for fast storage, integrated with S3
True/false: SageMaker channels that use file system data sources such as Amazon
Elastic File System (EFS) and Amazon FSx must use FILE mode - Answer- True
What are the two benefits of using Amazon FSx for Lustre with AWS SageMaker? -
Answer- Training jobs are accelerated by avoiding the initial S3 download step and
the TCO is reduced by avoiding repeated downloads of the same object(s)
What is the relationship of the sagemaker.estimator.Estimator train_volume_size
parameter and EBS volume size in SageMaker? - Answer- EBS volume size >
train_volume_size if training is in (default) File mode
How can inter-container encryption be added in SageMaker? - Answer- Ensure VPC
security group has right rules, then pass the EnableInterContainerTrafficEncryption
argument to either CreateTrainingJob or CreateHyperParameterTuningJob
True/false: CloudTrail does not monitor calls to runtime_InvokeEndpoint - AnswerTrue
How can you configure SageMaker containers to run in Internet-free mode? -
Answer- Set EnableNetworkIsolation parameter to True when calling
CreateTrainingJob, CreateHyperParameterTuningJob, or CreateModel
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