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最新的 AWS Certified Solutions Architect AWS-Solutions-Architect-Associate 免費考試真題:

1. A company provides devices to users. When a device is registered, its ID is added to DynamoDB. A daily job activates devices using two Lambda functions:
* The Retrieve function lists unregistered device IDs.
* The Retrieve function then calls the Activate function in a loop to register each device.
The number of activations is increasing, and the company wants to avoid Lambda timeouts without modifying existing functions.
Which solution will scale appropriately?

A) Invoke the Activate function from DynamoDB Streams when a device ID is added.
B) Use EventBridge Scheduler to periodically invoke the Retrieve function.
C) Move the Retrieve function to EC2 for longer processing time.
D) Use Step Functions to call the Retrieve function and use a Map state to run the Activate function for each ID.

2. A company is migrating a large amount of data from on-premises storage to AWS. Windows, Mac, and Linux based Amazon EC2 instances in the same AWS Region will access the data by using SMB and NFS storage protocols. The company will access a portion of the data routinely. The company will access the remaining data infrequently.
The company needs to design a solution to host the data.
Which solution will meet these requirements with the LEAST operational overhead?

A) Create an Amazon FSx for ONTAP instance. Create an FSx for ONTAP file system with a root volume that uses the auto tiering policy. Migrate the data to the FSx for ONTAP volume.
B) Create an Amazon Elastic File System (Amazon EFS) volume that uses EFS Intelligent-Tiering. Use AWS DataSync to migrate the data to the EFS volume.
C) Create an Amazon FSx for OpenZFS file system. Migrate the data to the new volume.
D) Create an Amazon S3 bucket that uses S3 Intelligent-Tiering. Migrate the data to the S3 bucket by using an AWS Storage Gateway Amazon S3 File Gateway.

3. 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?

A) Migrate the RDS for MySQL DB instance to Amazon Aurora MySQL to increase DB instance performance.
B) Create read replicas to distribute the load of the DB instance. Create a Network Load Balancer to distribute the load across the read replicas.
C) Use Amazon RDS Proxy for connection pooling. Modify the application to use the RDS Proxy for connections to the DB instance.
D) Create a new RDS instance for connection pooling. Modify the application to use the new RDS instance for connectivity.

4. A solutions architect is provisioning an Amazon Elastic File System (Amazon EFS) file system to provide shared storage across multiple Amazon EC2 instances. The instances all exist in the same VPC across multiple Availability Zones. There are two instances in each Availability Zone. The solutions architect must make the file system accessible to each instance with the lowest possible latency.
Which solution will meet these requirements?

A) Create a mount target for each instance. Use each mount target to mount the EFS file system on each respective instance.
B) Create a mount target for the EFS file system in one Availability Zone of the VPC. Use the mount target to mount the file system on the instances in that Availability Zone. Share the directory with the other instances.
C) Create a mount target for the EFS file system in the VPC. Use the mount target to mount the file system on each of the instances.
D) Create a mount target in each Availability Zone of the VPC. Use the mount target to mount the EFS file system on the instances in the respective Availability Zone.

5. A finance company uses an on-premises search application to collect streaming data from various producers.
The application provides real-time updates to search and visualization features. The company is planning to migrate to AWS and wants to use an AWS native solution. Which solution will meet these requirements?

A) Use Amazon EMR to ingest and process the data streams to Amazon Redshift for storage. Use Amazon Redshift Spectrum to search the data. Use Amazon QuickSight to create visualizations.
B) Use Amazon EC2 instances to ingest and process the data streams to Amazon S3 buckets for storage.
Use Amazon Athena to search the data. Use Amazon Managed Grafana to create visualizations.
C) Use Amazon Kinesis Data Streams to ingest and process the data streams to Amazon OpenSearch Service. Use OpenSearch Service to search the data. Use Amazon QuickSight to create visualizations.
D) Use Amazon Elastic Kubernetes Service (Amazon EKS) to ingest and process the data streams to Amazon DynamoDB for storage. Use Amazon CloudWatch to create graphical dashboards to search and visualize the data.

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