Free Access Amazon.AWS-Solutions-Architect-Associate.v2024-03-28.q387 Practice Test (Page 6)

Question 21

A company stores call transcript files on a monthly basis. Users access the files randomly within 1 year of the call, but users access the files infrequently after 1 year. The company wants to optimize its solution by giving users the ability to query and retrieve files that are less than 1-year-old as quickly as possible. A delay in retrieving older files is acceptable.
Which solution will meet these requirements MOST cost-effectively?

A.Store individual files with tags in Amazon S3 Glacier Instant Retrieval. Query the tags to retrieve the files from S3 Glacier Instant Retrieval.

B.Store individual files in Amazon S3 Intelligent-Tiering. Use S3 Lifecycle policies to move the files to S3 Glacier Flexible Retrieval after 1 year. Query and retrieve the files that are in Amazon S3 by using Amazon Athena. Query and retrieve the files that are in S3 Glacier by using S3 Glacier Select.

C.Store individual files with tags in Amazon S3 Standard storage. Store search metadata for each archive in Amazon S3 Standard storage. Use S3 Lifecycle policies to move the files to S3 Glacier Instant Retrieval after 1 year. Query and retrieve the files by searching for metadata from Amazon S3.

D.Store individual files in Amazon S3 Standard storage. Use S3 Lifecycle policies to move the files to S3 Glacier Deep Archive after 1 year. Store search metadata in Amazon RDS. Query the files from Amazon RDS. Retrieve the files from S3 Glacier Deep Archive.

Question 22

A company is writing a new service running on Amazon EC2 that must create thumbnail images of thousands of images in a large archive. The system will write scratch data to storage during the process.
Which storage service is best suited for this scenario?

A.EC2 instance store

B.Amazon CloudSearch

C.Amazon EFS

D.Amazon EBS Throughput Optimized HDD (st1)

Question 23

A company is using a fleet of Amazon EC2 instances to ingest data from on-premises data sources. The data is in JSON format and Ingestion rates can be as high as 1 MB/s. When an EC2 instance is rebooted, the data in-flight is lost. The company's data science team wants to query Ingested data In near-real time.
Which solution provides near-real -time data querying that is scalable with minimal data loss?

A.Publish data to Amazon Kinesis Data Streams Use Kinesis data Analytics to query the data.

B.Publish data to Amazon Kinesis Data Firehose with Amazon Redshift as the destination Use Amazon Redshift to query the data

C.Store ingested data m an EC2 Instance store Publish data to Amazon Kinesis Data Firehose with Amazon S3 as the destination. Use Amazon Athena to query the data.

D.Store ingested data m an Amazon Elastic Block Store (Amazon EBS) volume Publish data to Amazon ElastiCache tor Red Subscribe to the Redis channel to query the data

Question 24

A Solutions Architect is designing a solution to store a large quantity of event data in Amazon S3.
The Architect anticipates that the workload will consistently exceed 100 requests each second.
What should the Architect do in Amazon S3 to optimize performance?

A.Randomize a key name prefix.

B.Store the event data in separate buckets.

C.Randomize the key name suffix.

D.Use Amazon S3 Transfer Acceleration.

Question 25

A company uses on-premises servers to host its applications. The company is running out of storage capacity.
The applications use both block storage and NFS storage. The company needs a high-performing solution that supports local caching without re-architecting its existing applications.
Which combination of actions should a solutions architect take to meet these requirements? (Select TWO.)

A.Deploy an AWS Storage Gateway file gateway to replace NFS storage

B.Deploy an AWS Storage Gateway volume gateway to replace the block storage.

C.Deploy AWS Snowball Edge to provision NFS mounts to on-premises servers.

D.Deploy Amazon Elastic Fife System (Amazon EFS) volumes and mount them to on-premises servers.

E.Mount Amazon S3 as a file system to the on-premises servers.

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