Amazon Web Services crack4sure saa-c03 Actual Questions by Harris q201 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:	harris

Question 88

A solutions architect is designing the storage architecture for a new web application used for storing and viewing engineering drawings. All application components will be deployed on the AWS infrastructure.

The application design must support caching to minimize the amount of time that users wait for the engineering drawings to load. The application must be able to store petabytes of data. Which combination of storage and caching should the solutions architect use?

Options:

Amazon S3 with Amazon CloudFront

Amazon S3 Glacier with Amazon ElastiCache

Amazon Elastic Block Store (Amazon EBS) volumes with Amazon CloudFront

AWS Storage Gateway with Amazon ElastiCache

Discussion

Question 89

A research company uses on-premises devices to generate data for analysis. The company wants to use the AWS Cloud to analyze the data. The devices generate .csv files and support writing the data to SMB file share. Company analysts must be able to use SQL commands to query the data. The analysts will run queries periodically throughout the day.

Which combination of steps will meet these requirements MOST cost-effectively? (Select THREE.)

Options:

Deploy an AWS Storage Gateway on premises in Amazon S3 File Gateway mode.

Deploy an AWS Storage Gateway on premises in Amazon FSx File Gateway mode.

Set up an AWS Glue crawler to create a table based on the data that is in Amazon S3.

Set up an Amazon EMR cluster with EMR Fife System (EMRFS) to query the data that is in Amazon S3. Provide access to analysts.

Set up an Amazon Redshift cluster to query the data that is in Amazon S3. Provide access to analysts.

Set up Amazon Athena to query the data that is in Amazon S3. Provide access to analysts.

Discussion

Answer:

A, C, F

Explanation:

To meet the requirements of the use case in a cost-effective way, the following steps are recommended:

Deploy an AWS Storage Gateway on premises in Amazon S3 File Gateway mode. This will allow the company to write the .csv files generated by the devices to an SMB file share, which will be stored as objects in Amazon S3 buckets. AWS Storage Gateway is a hybrid cloud storage service that integrates on-premises environments with AWS storage. Amazon S3 File Gateway mode provides a seamless way to connect to Amazon S3 and access a virtually unlimited amount of cloud storage1.

Set up an AWS Glue crawler to create a table based on the data that is in Amazon S3. This will enable the company to use standard SQL to query the data stored in Amazon S3 buckets. AWS Glue is a serverless data integration service that simplifies data preparation and analysis. AWS Glue crawlers can automatically discover and classify data from various sources, and create metadata tables in the AWS Glue Data Catalog2. The Data Catalog is a central repository that stores information about data sources and how to access them3.

Set up Amazon Athena to query the data that is in Amazon S3. This will provide the company analysts with a serverless and interactive query service that can analyze data directly in Amazon S3 using standard SQL. Amazon Athena is integrated with the AWS Glue Data Catalog, so users can easily point Athena at the data source tables defined by the crawlers. Amazon Athena charges only for the queries that are run, and offers a pay-per-query pricing model, which makes it a cost-effective option for periodic queries4.

The other options are not correct because they are either not cost-effective or not suitable for the use case. Deploying an AWS Storage Gateway on premises in Amazon FSx File Gateway mode is not correct because this mode provides low-latency access to fully managed Windows file shares in AWS, which is not required for the use case. Setting up an Amazon EMR cluster with EMR File System (EMRFS) to query the data that is in Amazon S3 is not correct because this option involves setting up and managing a cluster of EC2 instances, which adds complexity and cost to the solution. Setting up an Amazon Redshift cluster to query the data that is in Amazon S3 is not correct because this option also involves provisioning and managing a cluster of nodes, which adds overhead and cost to the solution.

References:

What is AWS Storage Gateway?

What is AWS Glue?

AWS Glue Data Catalog

What is Amazon Athena?

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Question 90

A company hosts an application used to upload files to an Amazon S3 bucket Once uploaded, the files are processed to extract metadata which takes less than 5 seconds The volume and frequency of the uploads varies from a few files each hour to hundreds of concurrent uploads The company has asked a solutions architect to design a cost-effective architecture that will meet these requirements.

What should the solutions architect recommend?

Options:

Configure AWS CloudTrail trails to tog S3 API calls Use AWS AppSync to process the files.

Configure an object-created event notification within the S3 bucket to invoke an AWS Lambda function to process the files.

Configure Amazon Kinesis Data Streams to process and send data to Amazon S3. Invoke an AWS Lambda function to process the files.

Configure an Amazon Simple Notification Service (Amazon SNS) topic to process the files uploaded to Amazon S3 Invoke an AWS Lambda function to process the files.

Discussion

Question 91

A company has a web application that includes an embedded NoSQL database. The application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an Amazon EC2 Auto Scaling group in a single Availability Zone.

A recent increase in traffic requires the application to be highly available and for the database to be eventually consistent

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

Options:

Replace the ALB with a Network Load Balancer Maintain the embedded NoSQL database with its replication service on the EC2 instances.

Replace the ALB with a Network Load Balancer Migrate the embedded NoSQL database to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS).

Modify the Auto Scaling group to use EC2 instances across three Availability Zones. Maintain the embedded NoSQL database with its replication service on the EC2 instances.

Modify the Auto Scaling group to use EC2 instances across three Availability Zones. Migrate the embedded NoSQL database to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS).