Amazon Web Services examstrust amazon Web Services Saa-c03 Online Access by Alvey q160 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code:	SAA-C03 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	911 Q&A's	Shared By:	alvey

Question 84

A company is preparing a new data platform that will ingest real-time streaming data from multiple sources. The company needs to transform the data before writing the data to Amazon S3. The company needs the ability to use SQL to query the transformed data.

Which solutions will meet these requirements? (Choose two.)

Options:

Use Amazon Kinesis Data Streams to stream the data. Use Amazon Kinesis Data Analytics to transform the data. Use Amazon Kinesis Data Firehose to write the data to Amazon S3. Use Amazon Athena to query the transformed data from Amazon S3.

Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to stream the data. Use AWS Glue to transform the data and to write the data to Amazon S3. Use Amazon Athena to query the transformed data from Amazon S3.

Use AWS Database Migration Service (AWS DMS) to ingest the data. Use Amazon EMR to transform the data and to write the data to Amazon S3. Use Amazon Athena to query the transformed data from Amazon S3.

Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to stream the data. Use Amazon Kinesis Data Analytics to transform the data and to write the data to Amazon S3. Use the Amazon RDS query editor to query the transformed data from Amazon S3.

Use Amazon Kinesis Data Streams to stream the data. Use AWS Glue to transform the data. Use Amazon Kinesis Data Firehose to write the data to Amazon S3. Use the Amazon RDS query editor to query the transformed data from Amazon S3.

Discussion

Question 85

A company hosts an online shopping application that stores all orders in an Amazon RDS for PostgreSQL Singfe-AZ DB instance. Management wants to eliminate single points of C^ilure and has asked a solutions architect to recommend an approach to minimize database downtime without requiring any changes to the application code.

Which solution meets these requirements?

Options:

Convert the existing database instance to a Multi-AZ deployment by modifying the database instance and specifying the Multi-AZ option.

Create a new RDS Multi-AZ deployment. Take a snapshot of the current RDS instance and restore the new Multi-AZ deployment with the snapshot.

Create a read-only replica of the PostgreSQL database in another Availability Zone. Use Amazon Route 53 weighted record sets to distribute requests across the databases.

Place the RDS for PostgreSQL database in an Amazon EC2 Auto Scaling group with a minimum group size of two. Use Amazon Route 53 weighted record sets to distribute requests across instances.

Discussion

Question 86

A company has resources across multiple AWS Regions and accounts. A newly hired solutions architect discovers a previous employee did not provide details about the resources invent^. The solutions architect needs to build and map the relationship details of the various workloads across all accounts.

Which solution will meet these requirements in the MOST operationally efficient way?

Options:

Use AWS Systems Manager Inventory to generate a map view from the detailed view report.

Use AWS Step Functions to collect workload details Build architecture diagrams of the workloads manually.

Use Workload Discovery on AWS to generate architecture diagrams of the workloads.

Use AWS X-Ray to view the workload details Build architecture diagrams with relationships

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Question 87

A company's website handles millions of requests each day, and the number of requests continues to increase. A solutions architect needs to improve the response time of the web application. The solutions architect determines that the application needs to decrease latency when retrieving product details from the

Amazon DynamoDB table.

Which solution will meet these requirements with the LEAST amount of operational overhead?

Options:

Set up a DynamoDB Accelerator (DAX) cluster. Route all read requests through DAX.

Set up Amazon ElastiCache for Redis between the DynamoDB table and the web application. Route all read requests through Redis.

Set up Amazon ElastiCache for Memcached between the DynamoDB table and the web application. Route all read requests through Memcached.

Set up Amazon DynamoDB Streams on the table, and have AWS Lambda read from the table and populate Amazon ElastiCache. Route all read requests through ElastiCache.