Free Amazon AWS-Solutions-Architect-Associate Exam Dumps Questions & Answers

A company has a non-production application that runs on an Amazon EC2 instance. The EC2 instance has an instance profile and an associated IAM role.
The company wants to automate patching for the EC2 instance.
Which solution will meet this requirement?

• A.  Create an IAM user. Attach the AmazonSSMManagedInstanceCore policy to the IAM user. Configure AWS Systems Manager to use the IAM user to patch the instance.
• B.  Attach the AmazonSSMManagedInstanceCore policy to the existing IAM role. Use AWS Systems Manager to patch the EC2 instance.
• C.  Attach the AmazonSSMManagedInstanceCore policy to an existing IAM user. Use EC2 Image Builder to patch the EC2 instance.
• D.  Create a new IAM role. Attach the AmazonSSMManagedInstanceCore policy to the new IAM role.
  Attach the new IAM role to the EC2 instance profile. Use AWS Systems Manager to patch the instance.

A company collects data for temperature, humidity, and atmospheric pressure in cities across multiple continents. The average volume of data that the company collects from each site daily is 500 GB. Each site has a high-speed internet connection.
The company wants to aggregate the data from all these global sites as quickly as possible in a single Amazon S3 bucket. The solution must minimize operational complexity.
Which solution meets these requirements?

• A.  Schedule AWS Snowball Edge Storage Optimized device jobs daily to transfer data from each site to the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket.
• B.  Upload the data from each site to an Amazon EC2 instance in the closest Region. Store the data in an Amazon Elastic Block Store (Amazon EBS) volume. At regular intervals, take an EBS snapshot and copy it to the Region that contains the destination S3 bucket. Restore the EBS volume in that Region.
• C.  Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.
• D.  Upload the data from each site to an S3 bucket in the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket. Then remove the data from the origin S3 bucket.

A company is developing a microservices-based application to manage the company's delivery operations.
The application consists of microservices that process orders, manage a fleet of delivery vehicles, and optimize delivery routes.
The microservices must be able to scale independently and must be able to handle bursts of traffic without any data loss.
Which solution will meet these requirements with the LEAST operational overhead?

• A.  Use Amazon Simple Notification Service (Amazon SNS) to establish communication between microservices. Deploy the application on Amazon Elastic Container Service (Amazon ECS) containers on Amazon EC2 instances.
• B.  Use Amazon Simple Queue Service (Amazon SQS) to establish communication between microservices.
  Deploy the application on Amazon Elastic Container Service (Amazon ECS) containers on AWS Fargate.
• C.  Use Amazon API Gateway REST APIs to establish communication between microservices. Deploy the application on Amazon EC2 instances in Auto Scaling groups.
• D.  Use WebSocket-based communication between microservices. Deploy the application on Amazon EC2 instances in Auto Scaling groups.

A company hosts an application on AWS. The application has generated approximately 2.5 TB of data over the previous 12 years. The company currently stores the data on Amazon EBS volumes.
The company wants a cost-effective backup solution for long-term storage. The company must be able to retrieve the data within minutes when required for audits.
Which solution will meet these requirements?

• A.  Create EBS snapshots to back up the data.
• B.  Create an Amazon S3 bucket. Use the S3 Glacier Flexible Retrieval storage class to back up the data.
• C.  Create an Amazon S3 bucket. Use the S3 Glacier Deep Archive storage class to back up the data.
• D.  Create an Amazon Elastic File System (Amazon EFS) file system to back up the data.

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.

• A.  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.
• B.  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.
• C.  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.
• D.  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.