Question 1

A company runs a critical public application on Amazon Elastic Kubernetes Service (Amazon EKS) clusters.The application has a microservices architecture. The company needs to implement a solution that collects,aggregates, and summarizes metrics and logs from the application in a centralized location.Which solution will meet these requirements in the MOST operationally efficient way?

Options :

A : Run the Amazon CloudWatch agent in the existing EKS cluster. Use a CloudWatch dashboard to view the metrics and logs.

B : Configure a data stream in Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to read events and to deliver the events to an Amazon S3 bucket. Use Amazon Athena to view the events.

C : Configure AWS CloudTrail to capture data events. Use Amazon OpenSearch Service to query CloudTrail.

D : Configure Amazon CloudWatch Container Insights in the existing EKS cluster. Use a CloudWatch dashboard to view the metrics and logs.

Answer: D

Question 2

A company uses Amazon RDS (or PostgreSQL to run its applications in the us-east-1 Region. The companyalso uses machine learning (ML) models to forecast annual revenue based on neat real-time reports. Thereports are generated by using the same RDS for PostgreSQL database. The database performance slowsduring business hours. The company needs to improve database performance.Which solution will meet these requirements MOST cost-effectively?

Options :

A : Create a cross-Region read replica. Configure the reports to be generated from the read replica.

B : Activate Multi-AZ DB instance deployment for RDS for PostgreSQL. Configure the reports to be generated from the standby database.

C : Use AWS Data Migration Service (AWS DMS) to logically replicate data lo a new database. Configure the reports to be generated from the new database.

D : Create a read replica in us-east-1. Configure the reports to be generated from the read replica.

Answer: D

Question 3

A company needs to set up a centralized solution to audit API calls to AWS for workloads that run on AWSservices and non AWS services. The company must store logs of the audits for 7 years.Which solution will meet these requirements with the LEAST operational overhead?

Options :

A : Set up a data lake in Amazon S3. Incorporate AWS CloudTrail logs and logs from non AWS services into the data lake. Use CloudTrail to store the logs for 7 years.

B : Configure custom integrations for AWS CloudTrail Lake to collect and store CloudTrail events from AWS services and non AWS services. Use CloudTrail to store the logs for 7 years.

C : Enable AWS CloudTrail for AWS services. Ingest non AWS services into CloudTrail to store the logs for 7 years

D : Create new Amazon CloudWatch Logs groups. Send the audit data from non AWS services to the CloudWatch Logs groups. Enable AWS CloudTrail for workloads that run on AWS. Use CloudTrail to store the logs for 7 years.

Answer: B

Question 4

An ecommerce company is migrating its on-premises workload to the AWS Cloud. The workload currentlyconsists of a web application and a backend Microsoft SQL database for storage.The company expects a high volume of customers during a promotional event. The new infrastructure in theAWS Cloud must be highly available and scalable.Which solution will meet these requirements with the LEAST administrative overhead?

Options :

A : Migrate the web application to two Amazon EC2 instances across two Availability Zones behind an Application Load Balancer. Migrate the database to Amazon RDS for Microsoft SQL Server with read replicas in both Availability Zones.

B : Migrate the web application to an Amazon EC2 instance that runs in an Auto Scaling group across two Availability Zones behind an Application Load Balancer. Migrate the database to two EC2 instances across separate AWS Regions with database replication.

C : Migrate the web application to Amazon EC2 instances that run in an Auto Scaling group across two Availability Zones behind an Application Load Balancer. Migrate the database to Amazon RDS with Multi-AZ deployment.

D : Migrate the web application to three Amazon EC2 instances across three Availability Zones behind an Application Load Balancer. Migrate the database to three EC2 instances across three Availability Zones.

Answer: C

Question 5

A company is developing a highly available natural language processing (NLP) application. The applicationhandles large volumes of concurrent requests. The application performs NLP tasks such as entity recognition,sentiment analysis, and key phrase extraction on text data.The company needs to store data that the application processes in a highly available and scalable database.Options:

Options :

A : Create an Amazon API Gateway REST API endpoint to handle incoming requests. Configure the REST API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Comprehend to perform NLP tasks on the text data. Store the processed data in Amazon DynamoDB.

B : Create an Amazon API Gateway HTTP API endpoint to handle incoming requests. Configure the HTTP API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Translate to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.

C : Create an Amazon SQS queue to buffer incoming requests. Deploy the NLP application on Amazon EC2 instances in an Auto Scaling group. Use Amazon Comprehend to perform NLP tasks. Store the processed data in an Amazon RDS database.

D : Create an Amazon API Gateway WebSocket API endpoint to handle incoming requests. Configure the WebSocket API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Textract to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.

Answer: A

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