SAA-C03 Exam Dumps - AWS Certified Solutions Architect - Associate (SAA-C03)

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Question # 297

A company moved its on-premises PostgreSQL database to an Amazon RDS for PostgreSQL DB instance. The company successfully launched a new product. The workload on the database has increased.

The company wants to accommodate the larger workload without adding infrastructure.

Which solution will meet these requirements MOST cost-effectively?

Buy reserved DB instances for the total workload. Make the Amazon RDS for PostgreSQL DB instance larger.

Make the Amazon RDS for PostgreSQL DB instance a Multi-AZ DB instance.

Buy reserved DB instances for the total workload. Add another Amazon RDS for PostgreSQL DB instance.

Make the Amazon RDS for PostgreSQL DB instance an on-demand DB instance.

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Question # 298

A company is building an application that consists of several microservices. The company has decided to use container technologies to deploy its software on AWS. The company needs a solution that minimizes the amount of ongoing effort for maintenance and scaling. The company cannot manage additional infrastructure.

Which combination of actions should a solutions architect take to meet these requirements? (Choose two.)

Deploy an Amazon Elastic Container Service (Amazon ECS) cluster.

Deploy the Kubernetes control plane on Amazon EC2 instances that span multiple Availability Zones.

Deploy an Amazon Elastic Container Service (Amazon ECS) service with an Amazon EC2 launch type. Specify a desired task number level of greater than or equal to 2.

Deploy an Amazon Elastic Container Service (Amazon ECS) service with a Fargate launch type. Specify a desired task number level of greater than or equal to 2.

Deploy Kubernetes worker nodes on Amazon EC2 instances that span multiple Availability Zones. Create a deployment that specifies two or more replicas for each microservice.

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Question # 299

A company hosts a serverless application on AWS. The application uses Amazon API Gateway, AWS Lambda, and an Amazon RDS for PostgreSQL database. The company notices an increase in application errors that result from database connection timeouts during times Of peak traffic or unpredictable traffic. The company needs a solution that reduces the application failures with the least amount of change to the code.

What should a solutions architect do to meet these requirements?

Reduce the Lambda concurrency rate.

Enable RDS Proxy on the RDS DB instance.

Resize the RDS DB instance class to accept more connections.

Migrate the database to Amazon DynamoDB with on-demand scaling.

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Question # 300

A company has one million users that use its mobile app. The company must analyze the data usage in near-real time. The company also must encrypt the data in near-real time and must store the data in a centralized location in Apache Parquet format for further processing.

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

Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data. Invoke an AWS Lambda function to send the data to the Kinesis Data Analytics application.

Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data. Invoke an AWS Lambda function to send the data to the EMR cluster.

Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data.

Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data

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Question # 301

A company has developed an API by using an Amazon API Gateway REST API and AWS Lambda functions. The API serves static content and dynamic content to users worldwide. The company wants to decrease the latency of transferring the content for API requests. Which solution will meet these requirements?

Deploy the REST API as an edge-optimized API endpoint. Enable caching. Enable content encoding in the API definition to compress the application data in transit.

Deploy the REST API as a Regional API endpoint. Enable caching. Enable content encoding in the API definition to compress the application data in transit.

Deploy the REST API as an edge-optimized API endpoint. Enable caching. Configure reserved concurrency for the Lambda functions.

Deploy the REST API as a Regional API endpoint. Enable caching. Configure reserved concurrency for the Lambda functions.

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Question # 302

Question:

A company runs an application on several Amazon EC2 instances that store persistent data on an Amazon Elastic File System (Amazon EFS) file system. The company needs to replicate the data to another AWS Region by using an AWS managed service solution. Which solution will meet these requirements MOST cost-effectively?

Options:

Use the EFS-to-EFS backup solution to replicate the data to an EFS file system in another Region.

Run a nightly script to copy data from the EFS file system to an Amazon S3 bucket. Enable S3 Cross-Region Replication on the S3 bucket.

Create a VPC in another Region. Establish a cross-Region VPC peer. Run a nightly rsync to copy data from the original Region to the new Region.

Use AWS Backup to create a backup plan with a rule that takes a daily backup and replicates it to another Region. Assign the EFS file system resource to the backup plan.

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Question # 303

Question:

A company runs an online order management system on AWS. The company stores order and inventory data for the previous 5 years in an Amazon Aurora MySQL database. The company deletes inventory data after 5 years.

The company wants to optimize costs to archive data.

Options:

Create an AWS Glue crawler to export data to Amazon S3. Create an AWS Lambda function to compress the data.

Use the SELECT INTO OUTFILE S3 query on the Aurora database to export the data to Amazon S3. Configure S3 Lifecycle rules on the S3 bucket.

Create an AWS Glue DataBrew Job to migrate data from Aurora to Amazon S3. Configure S3 Lifecycle rules on the S3 bucket.

Use the AWS Schema Conversion Tool (AWS SCT) to replicate data from Aurora to Amazon S3. Use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class.

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Question # 304

A company is designing an application to connect AWS Lambda functions to an Amazon RDS for MySQL DB instance. The DB instance manages many connections. The company needs to modify the application to improve connectivity and recovery.

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

Use Amazon RDS Proxy for connection pooling. Modify the application to use the RDS Proxy for connections to the DB instance.

Create a new RDS instance for connection pooling. Modify the application to use the new RDS instance for connectivity.

Create read replicas to distribute the load of the DB instance. Create a Network Load Balancer to distribute the load across the read replicas.

Migrate the RDS for MySQL DB instance to Amazon Aurora MySQL to increase DB instance performance.

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