Amazon Web Services udemy selected Saa-c03 Aws Certified Associate Questions Answers by Alaia q120 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:	alaia

Question 16

A company needs to collect streaming data from several sources and store the data in the AWS Cloud. The dataset is heavily structured, but analysts need to perform several complex SQL queries and need consistent performance. Some of the data is queried more frequently than the rest. The company wants a solution that meets its performance requirements in a cost-effective manner.

Which solution meets these requirements?

Options:

Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data to save it to Amazon S3. Use Amazon Athena to perform SQL queries over the ingested data.

Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data to save it to Amazon Redshift. Enable Amazon Redshift workload management (WLM) to prioritize workloads.

Use Amazon Data Firehose to ingest the data to save it to Amazon Redshift. Enable Amazon Redshift workload management (WLM) to prioritize workloads.

Use Amazon Data Firehose to ingest the data to save it to Amazon S3. Load frequently queried data to Amazon Redshift using the COPY command. Use Amazon Redshift Spectrum for less frequently queried data.

Discussion

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Question 17

A company runs an on-premises application on a Kubernetes cluster. The company recently added millions of new customers. The company's existing on-premises infrastructure is unable to handle the large number of new customers. The company needs to migrate the on-premises application to the AWS Cloud.

The company will migrate to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The company does not want to manage the underlying compute infrastructure for the new architecture on AWS.

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

Options:

Use a self-managed node to supply compute capacity. Deploy the application to the new EKS cluster.

Use managed node groups to supply compute capacity. Deploy the application to the new EKS cluster.

Use AWS Fargate to supply compute capacity. Create a Fargate profile. Use the Fargate profile to deploy the application.

Use managed node groups with Karpenter to supply compute capacity. Deploy the application to the new EKS cluster.

Discussion

Question 18

A telemarketing company is designing its customer call center functionality on AWS. The company needs a solution that provides multiple speaker recognition and generates transcript files. The company wants to query the transcript files to analyze the business patterns.

Which solution will meet these requirements?

Options:

Use Amazon Rekognition for multiple speaker recognition. Store the transcript files in Amazon S3. Use machine learning (ML) models to analyze the transcript files.

Use Amazon Transcribe for multiple speaker recognition. Use Amazon Athena to analyze the transcript files.

Use Amazon Translate for multiple speaker recognition. Store the transcript files in Amazon Redshift. Use SQL queries to analyze the transcript files.

Use Amazon Rekognition for multiple speaker recognition. Store the transcript files in Amazon S3. Use Amazon Textract to analyze the transcript files.

Discussion

Question 19

A company runs an application on Amazon EC2 instances. The instances need to access an Amazon RDS database by using specific credentials. The company uses AWS Secrets Manager to contain the credentials the EC2 instances must use. Which solution will meet this requirement?

Options:

Create an IAM role, and attach the role to each EC2 instance profile. Use an identity-based policy to grant the new IAM role access to the secret that contains the database credentials.

Create an IAM user, and attach the user to each EC2 instance profile. Use a resource-based policy to grant the new IAM user access to the secret that contains the database credentials.

Create a resource-based policy for the secret that contains the database credentials. Use EC2 Instance Connect to access the secret.

Create an identity-based policy for the secret that contains the database credentials. Grant direct access to the EC2 instances.