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The SAP-C02 exam measures the candidate's knowledge and skills in various areas such as AWS architecture, designing and deploying highly available and fault-tolerant systems, migration of complex applications to AWS, cost optimization, security, and compliance. SAP-C02 Exam comprises 75 multiple-choice and multiple-answer questions and has a time limit of 180 minutes. The passing score for SAP-C02 exam is 750 out of 1000.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q510-Q515):

NEW QUESTION # 510
A company is building an image service on the web that will allow users to upload and search random photos. At peak usage, up to 10,000 users worldwide will upload their images. The will then overlay text on the uploaded images, which will then be published on the company website.
Which design should a solutions architect implement?

A. Store the uploaded images on a shared Amazon Elastic Block Store (Amazon EBS) volume mounted to a fleet of Amazon EC2 Spot instances. Create an Amazon DynamoDB table that contains information about each uploaded image and whether it has been processed. Use an Amazon EventBridge rule to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to reference an Elastic Load Balancer in front of the fleet of EC2 instances.
B. Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to Amazon Simple Notification Service (Amazon SNS). Create a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB) to pull messages from Amazon SNS to process the images and place them in Amazon Elastic File System (Amazon EFS). Use Amazon CloudWatch metrics for the SNS message volume to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to be the ALB in front of the EC2 instances.
C. Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to the Amazon Simple Queue Service (Amazon SQS) queue.
Create a fleet of Amazon EC2 instances to pull messages from the SQS queue to process the images and place them in another S3 bucket. Use Amazon CloudWatch metrics for queue depth to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to be the S3 bucket that contains the processed images.
D. Store the uploaded images in Amazon Elastic File System (Amazon EFS). Send application log information about each image to Amazon CloudWatch Logs. Create a fleet of Amazon EC2 instances that use CloudWatch Logs to determine which images need to be processed. Place processed images in another directory in Amazon EFS. Enable Amazon CloudFront and configure the origin to be the one of the EC2 instances in the fleet.

Answer: C

NEW QUESTION # 511
A company has an application that analyzes and stores image data on premises The application receives millions of new image files every day Files are an average of 1 MB in size The files are analyzed in batches of
1 GB When the application analyzes a batch the application zips the imagestogether The application then archives the images as a single file in an on-premises NFS server for long-term storage The company has a Microsoft Hyper-V environment on premises and has compute capacity available The company does not have storage capacity and wants to archive the images on AWS The company needs the ability to retrieve archived data within t week of a request.
The company has a 10 Gbps AWS Direct Connect connection between its on-premises data center and AWS.
The company needs to set bandwidth limits and schedule archived images to be copied to AWS dunng non- business hours.
Which solution will meet these requirements MOST cost-effectively?

A. Deploy an AWS DataSync agent on a new general purpose Amazon EC2 instance Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Standard After the successful copy deletes the data from the on-premises storage Create an S3 Lifecycle rule to transition objects from S3 Standard to S3 Glacier Deep Archive after 1 day
B. Deploy an AWS DataSync agent on a new GPU-based Amazon EC2 instance Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Instant Retrieval After the successful copy delete the data from the on-premises storage
C. Deploy an AWS DataSync agent as a Hyper-V VM on premises Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Deep Archive After the successful copy delete the data from the on-premises storage
D. Deploy an AWS Storage Gateway Tape Gateway on premises in the Hyper-V environment Connect the Tape Gateway to AWS Use automatic tape creation Specify an Amazon S3 Glacier Deep Archive pool Eject the tape after the batch of images is copied

Answer: C

Explanation:
Deploy DataSync Agent:
Install the AWS DataSync agent as a VM in your Hyper-V environment. This agent facilitates the data transfer between your on-premises storage and AWS.
Configure Source and Destination:
Set up the source location to point to your on-premises NFS server where the image batches are stored.
Configure the destination location to be an Amazon S3 bucket with the Glacier Deep Archive storage class.
This storage class is cost-effective for long-term storage with retrieval times of up to 12 hours.
Create DataSync Tasks:
Create and configure DataSync tasks to manage the data transfer. Schedule these tasks to run during non- business hours to minimize bandwidth usage during peak times. The tasks will handle the copying of data batches from the NFS server to the S3 bucket.
Set Bandwidth Limits:
In the DataSync configuration, set bandwidth limits to control the amount of data being transferred at any given time. This ensures that your network's performance is not adversely affected during business hours.
Delete On-Premises Data:
After successfully copying the data to S3 Glacier Deep Archive, configure the DataSync task to delete the data from your on-premises NFS server. This helps manage storage capacity on-premises and ensures data is securely archived on AWS.
This approach leverages AWS DataSync for efficient, secure, and automated data transfer, and S3 Glacier Deep Archive for cost-effective long-term storage.
References
AWS DataSync Overview#41#.
AWS Storage Blog on DataSync Migration#40#.
Amazon S3 Transfer Acceleration Documentation#42#.

NEW QUESTION # 512
An AWS partner company is building a service in AWS Organizations using Its organization named org. This service requires the partner company to have access to AWS resources in a customer account, which is in a separate organization named org2 The company must establish least privilege security access using an API or command line tool to the customer account What is the MOST secure way to allow org1 to access resources h org2?

A. The customer should create an IAM rote and assign the required permissions to the IAM rote. The partner company should then use the IAM rote's Amazon Resource Name (ARN). Including the external ID in the IAM role's trust pokey, when requesting access to perform the required tasks
B. The customer should create an IAM role and assign the required permissions to the IAM role. The partner company should then use the IAM rote's Amazon Resource Name (ARN) when requesting access to perform the required tasks
C. The customer should create an IAM user and assign the required permissions to the IAM user The customer should then provide the credentials to the partner company to log In and perform the required tasks.
D. The customer should provide the partner company with their AWS account access keys to log in and perform the required tasks

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/IAM/latest/UserGuide/confused-deputy.html
This is the most secure way to allow org1 to access resources in org2 because it allows for least privilege security access. The customer should create an IAM role and assign the required permissions to the IAM role.
The partner company should then use the IAM role's Amazon Resource Name (ARN) and include the external ID in the IAM role's trust policy when requesting access to perform the required tasks. This ensures that the partner company can only access the resources that it needs and only from the specific customer account.

NEW QUESTION # 513
A flood monitoring agency has deployed more than 10.000 water-level monitoring sensors. Sensors send continuous data updates, and each update is less than 1 MB in size. The agency has a fleet of on-premises application servers. These servers receive upda.es 'on the sensors, convert the raw data into a human readable format, and write the results loan on-premises relational database server. Data analysts then use simple SOL queries to monitor the data.
The agency wants to increase overall application availability and reduce the effort that is required to perform maintenance tasks These maintenance tasks, which include updates and patches to the application servers, cause downtime. While an application server is down, data is lost from sensors because the remaining servers cannot handle the entire workload.
The agency wants a solution that optimizes operational overhead and costs. A solutions architect recommends the use of AWS loT Core to collect the sensor data.
What else should the solutions architect recommend to meet these requirements?

A. Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to read the Kinesis Data Firehose data, convert it to .csv format, and insert it into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.
B. Send the sensor data to an Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) application to convert the data to Apache Parquet format and store it in an Amazon S3 bucket Instruct the data analysis to query the data by using Amazon Athena.
C. Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to readthe Kinesis Data Firehose data, convert it to Apache Parquet format and save it to an Amazon S3 bucket.
Instruct the data analysts to query the data by using Amazon Athena.
D. Send the sensor data to an Amazon Managed Service for Apache Flink {previously known as Amazon Kinesis Data Analytics) application to convert the data to .csv format and store it in an Amazon S3 bucket. Import the data into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.

Answer: C

Explanation:
To enhance application availability and reduce maintenance-induced downtime, sending sensor data to Amazon Kinesis Data Firehose, processing it with an AWS Lambda function, converting it to Apache Parquet format, and storing it in Amazon S3 is an effective strategy. This approach leverages serverless architectures for scalability and reliability. Data analysts can then query the optimized data using Amazon Athena, a serverless interactive query service, which supports complex queries on data stored in S3 without the need for traditional database servers, optimizing operational overhead and costs.
AWS Documentation on AWS IoT Core, Amazon Kinesis Data Firehose, AWS Lambda, Amazon S3, and Amazon Athena provides a comprehensive framework for building a scalable, serverless data processing pipeline. This solution aligns with AWS best practices for processing and analyzing large-scale data streams efficiently.

NEW QUESTION # 514
A company's solutions architect is reviewing a web application that runs on AWS. The application references static assets in an Amazon S3 bucket in the us-east-1 Region. The company needs resiliency across multiple AWS Regions. The company already has created an S3 bucket in a second Region.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an AWS Lambda function to copy objects from the S3 bucket in us-east-1 to the S3 bucket in the second Region. Invoke the Lambda function each time an object is written to the S3 bucket in us-east-1. Set up an Amazon CloudFront distribution with an origin group that contains the two S3 buckets as origins.
B. Configure the application to write each object to both S3 buckets. Set up an Amazon Route 53 public hosted zone with a record set by using a weighted routing policy for each S3 bucket.
Configure the application to reference the objects by using the Route 53 DNS name.
C. Configure replication on the S3 bucket in us-east-1 to replicate objects to the S3 bucket in the second Region. Set up an Amazon CloudFront distribution with an origin group that contains the two S3 buckets as origins.
D. Configure replication on the S3 bucket in us-east-1 to replicate objects to the S3 bucket in the second Region. If Lawyer is required, update the application code to load S3 objects from the S3 bucket in the second Region.

Answer: C

Explanation:
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/high_availability_origin_ failover.html

NEW QUESTION # 515
......

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