Exam Readiness: AWS Certified ML – Specialty Questions And Answers 2022

Exam Readiness: AWS Certified ML – Specialty Questions And Answers 2022 What is AWS Lake Formation - Answer- A central console to discover data sources, 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 ator.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. Continues..........