Practice Free SAP-C02 Exam Online Questions
A company hosts an application on AWS. The application reads and writes objects that are stored in a single Amazon S3 bucket. The company must modify the application to deploy the application in two AWS Regions.
Which solution will meet these requirements with the LEAST operational overhead?
- A . Set up an Amazon CloudFront distribution with the S3 bucket as an origin. Deploy the application to a second Region Modify the application to use the CloudFront distribution. Use AWS Global Accelerator to access the data in the S3 bucket.
- B . Create a new S3 bucket in a second Region. Set up bidirectional S3 Cross-Region Replication (CRR) between the original S3 bucket and the new S3 bucket. Configure an S3 Multi-Region Access Point that uses both S3 buckets. Deploy a modified application to both Regions.
- C . Create a new S3 bucket in a second Region Deploy the application in the second Region. Configure the application to use the new S3 bucket. Set up S3 Cross-Region Replication (CRR) from the original S3 bucket to the new S3 bucket.
- D . Set up an S3 gateway endpoint with the S3 bucket as an origin. Deploy the application to a second Region. Modify the application to use the new S3 gateway endpoint. Use S3 Intelligent-Tiering on the S3 bucket.
A company runs a Python script on an Amazon EC2 instance to process data. The script runs every 10 minutes. The script ingests files from an Amazon S3 bucket and processes the files. On average, the script takes approximately 5 minutes to process each file. The script will not reprocess a file that the script has already processed.
The company reviewed Amazon CloudWatch metrics and noticed that the EC2 instance is idle for approximately 40% of the time because of the file processing speed. The company wants to make the workload highly available and scalable. The company also wants to reduce long-term management overhead.
Which solution will meet these requirements MOST cost-effectively?
- A . Migrate the data processing script to an AWS Lambda function. Use an S3 event notification to invoke the Lambda function to process the objects when the company uploads the objects.
- B . Create an Amazon Simple Queue Service (Amazon SQS) queue. Configure Amazon S3 to send event notifications to the SQS queue. Create an EC2 Auto Scaling group with a minimum size of one instance. Update the data processing script to poll the SQS queue. Process the S3 objects that the
SQS message identifies. - C . Migrate the data processing script to a container image. Run the data processing container on an EC2 instance. Configure the container to poll the S3 bucket for new objects and to process the resulting objects.
- D . Migrate the data processing script to a container image that runs on Amazon Elastic Container Service (Amazon ECS) on AWS Fargate. Create an AWS Lambda function that calls the Fargate RunTaskAPI operation when the container processes the file. Use an S3 event notification to invoke the Lambda function.
A company is developing a gene reporting device that will collect genomic information to assist researchers with collecting large samples of data from a diverse population . The device will push 8 KB of genomic data every second to a data platform that will need to process and analyze the data and provide information back to researchers .
The data platform must meet the following requirements:
• Provide near-real-time analytics of the inbound genomic data
• Ensure the data is flexible, parallel, and durable
• Deliver results of processing to a data warehouse
Which strategy should a solutions architect use to meet these requirements?
- A . Use Amazon Kinesis Data Firehose to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon RDS instance.
- B . Use Amazon Kinesis Data Streams to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon Redshift cluster using Amazon EMR.
- C . Use Amazon S3 to collect the inbound device data, analyze the data from Amazon SOS with Kinesis, and save the results to an Amazon Redshift cluster.
- D . Use an Amazon API Gateway to put requests into an Amazon SQS queue, analyze the data with an AWS Lambda function, and save the results to an Amazon Redshift cluster using Amazon EMR.
A company is collecting a large amount of data from a fleet of loT devices Data is stored as Optimized Row Columnar (ORC) files in the Hadoop Distributed File System (HDFS) on a persistent Amazon EMR cluster. The company’s data analytics team queries the data by using SQL in Apache Presto deployed on the same EMR cluster Queries scan large amounts of data, always run for less than 15 minutes, and run only between 5 PM and 10 PM.
The company is concerned about the high cost associated with the current solution A solutions architect must propose the most cost-effective solution that will allow SQL data queries
Which solution will meet these requirements?
- A . Store data in Amazon S3 Use Amazon Redshift Spectrum to query data.
- B . Store data in Amazon S3 Use the AWS Glue Data Catalog and Amazon Athena to query data
- C . Store data in EMR File System (EMRFS) Use Presto in Amazon EMR to query data
- D . Store data in Amazon Redshift. Use Amazon Redshift to query data.
A company runs payment gateways in multiple AWS Regions. The company also operates on-premises data centers where the company manages hardware security modules (HSMs) to tokenize sensitive payment data to comply with security regulations.
To process payment transactions within the company’s performance SLA, the company requires an automated and centrally managed solution that can provide dedicated private connectivity between the on-premises HSMs and AWS payment services.
Which solution will meet this requirement?
- A . Use a centrally managed accelerator in AWS Global Accelerator to route traffic from each data center the nearest AWS Region.
- B . Establish AWS Site-to-Site VPN connections between the data centers and AWS. Set up a centrally managed transit gateway and set appropriate routes.
- C . Use AWS CloudHSM to tokenize the sensitive payment data. Deploy CloudHSM in the same private subnet as the payment services workload.
- D . Set up AWS Cloud WAN with AWS Direct Connect attachments between on-premises data centers and AWS.
A company is serving files to its customers through an SFTP server that is accessible over the internet. The SFTP server is running on a single Amazon EC2 instance with an Elastic IP address attached Customers connect to the SFTP server through its Elastic IP address and use SSH for authentication. The EC2 instance also has an attached security group that allows access from all customer IP addresses.
A solutions architect must implement a solution to improve availability minimize the complexity of infrastructure management and minimize the disruption to customers who access files. The solution must not change the way customers connect
Which solution will meet these requirements?
- A . Disassociate the Elastic IP address from the EC2 instance Create an Amazon S3 bucket to be used for SFTP file hosting Create an AWS Transfer Family server. Configure the Transfer Family server with a publicly accessible endpoint Associate the SFTP Elastic IP address with the new endpoint. Point the Transfer Family server to the S3 bucket Sync all files from the SFTP server to the S3 bucket.
- B . Disassociate the Elastic IP address from the EC2 instance Create an Amazon S3 bucket to be used for SFTP file hosting Create an AWS Transfer Family Server Configure the Transfer Family server with a VPC-hosted, internet-facing endpoint Associate the SFTP Elastic IP address with the new endpoint Attach the security group with customer IP addresses to the new endpoint Point the Transfer Family server to the S3 bucket. Sync all files from the SFTP server to the S3 bucket.
- C . Disassociate the Elastic IP address from the EC2 instance. Create a new Amazon Elastic File System (Amazon EFS) file system to be used for SFTP file hosting. Create an AWS Fargate task definition to run an SFTP server Specify the EFS file system as a mount in the task definition Create a Fargate service by using the task definition, and place a Network Load Balancer (NLB) in front of the service. When configuring the service, attach the security group with customer IP addresses to the tasks that run the SFTP server Associate the Elastic IP address with the NLB Sync all files from the SFTP server to the S3 bucket.
- D . Disassociate the Elastic IP address from the EC2 instance. Create a multi-attach Amazon Elastic Block Store (Amazon EBS) volume to be used for SFTP file hosting. Create a Network Load Balancer (NLB) with the Elastic IP address attached. Create an Auto Scaling group with EC2 instances that run an SFTP server. Define in the Auto Scaling group that instances that are launched should attach the new multi-attach EBS volume Configure the Auto Scaling group to automatically add instances behind the NLB. configure the Auto Scaling group to use the security group that allows customer IP addresses for the EC2 instances that the Auto Scaling group launches Sync all files from the SFTP server to the new multi-attach EBS volume.
A global manufacturing company plans to migrate the majority of its applications to AWS. However, the company is concerned about applications that need to remain within a specific country or in the company’s central on-premises data center because of data regulatory requirements or requirements for latency of single-digit milliseconds. The company also is concerned about the applications that it hosts in some of its factory sites, where limited network infrastructure exists.
The company wants a consistent developer experience so that its developers can build applications once and deploy on premises, in the cloud, or in a hybrid architecture.
The developers must be able to use the same tools, APIs, and services that are familiar to them.
Which solution will provide a consistent hybrid experience to meet these requirements?
- A . Migrate all applications to the closest AWS Region that is compliant. Set up an AWS Direct Connect connection between the central on-premises data center and AWS. Deploy a Direct Connect gateway.
- B . Use AWS Snowball Edge Storage Optimized devices for the applications that have data regulatory requirements or requirements for latency of single-digit milliseconds. Retain the devices on premises. Deploy AWS Wavelength to host the workloads in the factory sites.
- C . Install AWS Outposts for the applications that have data regulatory requirements or requirements for latency of single-digit milliseconds. Use AWS Snowball Edge Compute Optimized devices to host the workloads in the factory sites.
- D . Migrate the applications that have data regulatory requirements or requirements for latency of single-digit milliseconds to an AWS Local Zone. Deploy AWS Wavelength to host the workloads in the factory sites.
A company needs to copy backups of 40 RDS for MySQL databases from a production account to a central backup account within AWS Organizations. The databases usedefault AWS-managed KMS encryption keys. The backups must be stored in aWORM (Write Once Read Many) backup account.
What is the correct approach to enable cross-account backup?
- A . Restore the databases with customer-managed KMS keys and use AWS Backup with cross-account vault sharing.
- B . Share the default KMS keys with the central account and create backup vaults in the central account.
- C . Use a Lambda function to decrypt and copy the snapshots to the central account.
- D . Use a Lambda function to share and re-encrypt snapshots across accounts using the default KMS key.
A company’s CISO has asked a Solutions Architect to re-engineer the company’s current CI/CD practices to make sure patch deployments to its applications can happen as quickly as possible with minimal downtime if vulnerabilities are discovered. The company must also be able to quickly roll back a change in case of errors.
The web application is deployed in a fleet of Amazon EC2 instances behind an Application Load Balancer. The company is currently using GitHub to host the application source code, and has configured an AWS CodeBuild project to build the application. The company also intends to use AWS CodePipeline to trigger builds from GitHub commits using the existing CodeBuild project.
What CI/CD configuration meets all of the requirements?
- A . Configure CodePipeline with a deploy stage using AWS CodeDeploy configured for in-place deployment. Monitor the newly deployed code, and, if there are any issues, push another code update.
- B . Configure CodePipeline with a deploy stage using AWS CodeDeploy configured for blue/green deployments. Monitor the newly deployed code, and, if there are any issues, trigger a manual rollback using CodeDeploy.
- C . Configure CodePipeline with a deploy stage using AWS CloudFormation to create a pipeline for test and production stacks. Monitor the newly deployed code, and, if there are any issues, push another code update.
- D . Configure the CodePipeline with a deploy stage using AWS OpsWorks and in-place deployments.
Monitor the newly deployed code, and, if there are any issues, push another code update.
A company runs a website on Amazon ECS containers that use the AWS Fargate launch type. The company configures AWS Application Auto Scaling by using a target tracking scaling policy. The company sets the request count as the scaling metric. An Application Load Balancer (ALB) serves traffic to the ECS containers. The website serves images on request and resizes the images to a predefined size to match the viewers’ screens. After the website resizes an image, the website caches the image locally in a container and serves subsequent requests from the cache.
During periods of high traffic, the company observed that images load slowly and with high latency.
The company wants to minimize the latency to serve images.
Which solution will meet this requirement with the LEAST operational overhead?
- A . Create a new Amazon CloudFront distribution and an Amazon S3 bucket. Set the ALB as one origin for the distribution and the S3 bucket as a second origin. Configure a cache behavior that routes image requests to the S3 origin, and configure a default cache behavior for the ALB origin. Pre-scale all images and upload the images to the S3 bucket.
- B . Create an Amazon ElastiCache (Memcached) cluster. Update the application to read and write the resized images to the ElastiCache (Memcached) cluster by using the image name and size as the key.
- C . Create an Amazon Aurora cluster and an Amazon S3 bucket. Update the application to store resized images in the S3 bucket and to store a cache key in the Aurora cluster. Configure the application to load the cache key from the Aurora cluster and to serve images from the S3 bucket.
- D . Create an Amazon API Gateway HTTP API and enable API request caching. Replace the ALB with the HTTP API and remove the local caching in the application code.