Amazon Web Services spoto sure Pass Exam Saa-c03 Pdf by Ashley 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:	576 Q&A's	Shared By:	ashley

Question 24

A solutions architect is creating a data processing job that runs once daily and can take up to 2 hours to complete. If the job is interrupted, it has to restart from the beginning.

How should the solutions architect address this issue in the MOST cost-effective manner?

Options:

Create a script that runs locally on an Amazon EC2 Reserved Instance that is triggered by a cron job.

Create an AWS Lambda function triggered by an Amazon EventBridge scheduled event.

Use an Amazon Elastic Container Service (Amazon ECS) Fargate task triggered by an Amazon EventBridge scheduled event.

Use an Amazon Elastic Container Service (Amazon ECS) task running on Amazon EC2 triggered by an Amazon EventBridge scheduled event.

Discussion

Question 25

A company runs HPC workloads requiring high IOPS.

Which combination of steps will meet these requirements? (Select TWO)

Options:

Use Amazon EFS as a high-performance file system.

Use Amazon FSx for Lustre as a high-performance file system.

Create an Auto Scaling group of EC2 instances. Use Reserved Instances. Configure a spread placement group. Use AWS Batch for analytics.

Use Mountpoint for Amazon S3 as a high-performance file system.

Create an Auto Scaling group of EC2 instances. Use mixed instance types and a cluster placement group. Use Amazon EMR for analytics.

Discussion

Question 26

A company is developing a containerized web application that needs to be highly available and scalable. The application requires access to GPU resources.

Options:

Package the application as an AWS Lambda function in a container image. Use Lambda to run the containerized application on a runtime with GPU access.

Deploy the application container to Amazon Elastic Kubernetes Service (Amazon EKS). Use AWS Fargate to manage compute resources and access to GPU resources.

Deploy the application container to Amazon Elastic Container Registry (Amazon ECR). Use Amazon ECR to run the containerized application with an attached GPU.

Run the application on Amazon EC2 instances from a GPU instance family by using Amazon Elastic Container Service (Amazon ECS) for orchestration.

Discussion

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Question 27

A company needs a solution to ingest streaming sensor data from 100,000 devices, transform the data in near real time, and load the data into Amazon S3 for analysis. The solution must be fully managed, scalable, and maintain sub-second ingestion latency.

Options:

Use Amazon Kinesis Data Streams to ingest the data. Use Amazon Managed Service for Apache Flink to process the data in near real time. Use an Amazon Data Firehose stream to send processed data to Amazon S3.

Use Amazon Simple Queue Service (Amazon SQS) standard queues to collect the sensor data. Invoke AWS Lambda functions to transform and process SQS messages in batches. Configure the Lambda functions to use an AWS SDK to write transformed data to Amazon S3.

Deploy a fleet of Amazon EC2 instances that run Apache Kafka to ingest the data. Run Apache Spark on Amazon EMR clusters to process the data. Configure Spark to write processed data directly to Amazon S3.

Implement Amazon EventBridge to capture all sensor data. Use AWS Batch to run containerized transformation jobs on a schedule. Configure AWS Batch jobs to process data in chunks. Save results to Amazon S3.