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The Amazon SAP-C02 exam is intended for experienced IT professionals who have a minimum of two years of hands-on experience in designing and deploying AWS-based applications and architectures. SAP-C02 exam measures the candidate's ability to design and deploy complex AWS-based systems and applications, as well as their ability to provide guidance and recommendations to stakeholders on the best practices for AWS design and deployment.

Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) certification exam is a highly sought-after certification for professionals seeking a career in cloud computing. SAP-C02 Exam is designed to test the candidate's knowledge and expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform.

The SAP-C02 exam consists of 75 multiple-choice and multiple-response questions, which need to be completed within 180 minutes. SAP-C02 exam covers a wide range of topics, including high availability and business continuity, cost optimization, deployment management, network design, data storage, security, and scalability. Candidates need to score at least 750 out of 1000 to pass the exam.

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q430-Q435):

NEW QUESTION # 430
A company that uses AWS Organizations allows developers to experiment on AWS. As part of the landing zone that the company has deployed, developers use their company email address to request an account. The company wants to ensure that developers are not launching costly services or running services unnecessarily.
The company must give developers a fixed monthly budget to limit their AWS costs.
Which combination of steps will meet these requirements? (Choose three.)

A. Use AWS Budgets to create a fixed monthly budget for each developer's account as part of the account creation process.
B. Create an SCP to deny access to costly services and components. Apply the SCP to the developer accounts.
C. Create an SCP to set a fixed monthly account usage limit. Apply the SCP to the developer accounts.
D. Create an AWS Budgets alert action to send an Amazon Simple Notification Service (Amazon SNS) notification when the budgeted amount is reached. Invoke an AWS Lambda function to terminate all services.
E. Create an AWS Budgets alert action to terminate services when the budgeted amount is reached.
Configure the action to terminate all services.
F. Create an IAM policy to deny access to costly services and components. Apply the IAM policy to the developer accounts.

Answer: A,B,D

Explanation:
* Option A is incorrect because creating an SCP to set a fixed monthly account usage limit is not possible. SCPs are policies that specify the services and actions that users and roles can use in the member accounts of an AWS Organization. SCPscannot enforce budget limits or prevent users from launching costly services or running services unnecessarily1
* Option B is correct because using AWS Budgets to create a fixed monthly budget for each developer's account as part of the account creation process meets the requirement of giving developers a fixed monthly budget to limit their AWS costs. AWS Budgets allows you to plan your service usage, service costs, and instance reservations. You can create budgets that alert you when your costs or usage exceed (or are forecasted to exceed) your budgeted amount2
* Option C is correct because creating an SCP to deny access to costly services and components meets the requirement of ensuring that developers are not launching costly services or running services unnecessarily. SCPs can restrict access to certain AWS services or actions based on conditions such as region, resource tags, or request time. For example, an SCP can deny access to Amazon Redshift clusters or Amazon EC2 instances with certain instance types1
* Option D is incorrect because creating an IAM policy to deny access to costly services and components is not sufficient to meet the requirement of ensuring that developers are not launching costly services or running services unnecessarily. IAM policies can only control access to resources within a single AWS account. If developers have multiple accounts or can create new accounts, they can bypass the IAMpolicy restrictions. SCPs can apply across multiple accounts within an AWS Organization and prevent users from creating new accounts that do not comply with the SCP rules3
* Option E is incorrect because creating an AWS Budgets alert action to terminate services when the budgeted amount is reached is not possible. AWS Budgets alert actions can only perform one of the following actions: apply an IAM policy, apply an SCP, or send a notification through Amazon SNS.
AWS Budgets alert actions cannot terminate services directly.
* Option F is correct because creating an AWS Budgets alert action to send an Amazon SNS notification when the budgeted amount is reached and invoking an AWS Lambda function to terminate all services meets the requirement of giving developers a fixed monthly budget to limit their AWS costs. AWS Budgets alert actions can send notifications through Amazon SNS when a budget threshold is breached.
Amazon SNS can trigger an AWS Lambda function that can perform custom logic such as terminating all services in the developer's account. This way, developers cannot exceed their budget limit and incur additional costs.
References: 1: https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.
html 2: https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/budgets-create.html 3: https://docs.aws.
amazon.com/IAM/latest/UserGuide/introduction.html : https://docs.aws.amazon.com/cost-management/latest
/userguide/budgets-actions.html : https://docs.aws.amazon.com/sns/latest/dg/sns-lambda.html : https://docs.
aws.amazon.com/lambda/latest/dg/welcome.html

NEW QUESTION # 431
A solutions architect is reviewing a company's process for taking snapshots of Amazon RDS DB instances.
The company takes automatic snapshots every day and retains the snapshots for 7 days.
The solutions architect needs to recommend a solution that takes snapshots every 6 hours and retains the snapshots for 30 days. The company uses AWS Organizations to manage all of its AWS accounts. The company needs a consolidated view of the health of the RDS snapshots.
Which solution will meet these requirements with the LEAST operational overhead?

A. Turn on the cross-account management feature in AWS CloudFormation. From the management account, deploy a CloudFormation stack set that contains a backup plan from AWS Backup that specifies the frequency and retention requirements. Create an AWS Lambda function in the management account to monitor the status of the backups. Create an Amazon EventBridge rule in each account to run the Lambda function on a schedule.
B. Turn on the cross-account management feature in AWS Backup. Create a backup plan that specifies the frequency and retention requirements. Add a tag to the DB instances. Apply the backup plan by using tags. Use AWS Backup to monitor the status of the backups.
C. Turn on the cross-account management feature in Amazon RDS. Create a snapshot global policy that specifies the frequency and retention requirements. Use the RDS console in the management account to monitor the status of the backups.
D. Configure AWS Backup in each account. Create an Amazon Data Lifecycle Manager lifecycle policy that specifies the frequency and retention requirements. Specify the DB instances as the target resource.
Use the Amazon Data Lifecycle Manager console in each member account to monitor the status of the backups.

Answer: B

Explanation:
Turning on the cross-account management feature in AWS Backup will enable managing and monitoring backups across multiple AWS accounts that belong to the same organization in AWS Organizations1. Creating a backup plan that specifies the frequency and retention requirements will enable taking snapshots every 6 hours and retaining them for 30 days2. Adding a tag to the DB instances will enable applying the backup plan by using tags2. Using AWS Backup to monitor the status of the backups will enable having a consolidated view of the health of the RDS snapshots1.

NEW QUESTION # 432
A company is replicating an application in asecondary Region. The application usesDynamoDBandRDS for MySQL. The secondary Region must function independently during adisaster.

A. Use DynamoDB global tables and an RDS read replica.
B. Use Streams and Lambda to copy data. Use read replica.
C. Use DAX and a read replica.
D. Use global tables and RDS Multi-AZ with standby in secondary Region.

Answer: A

Explanation:
A is correct because:
DynamoDB global tablesallow for multi-Region, active-active usage.
RDS MySQL read replicain another Region supports read workloads and can bepromotedduring disaster to act as a standalone DB.
B is incorrect: DAX is a cache, not a replication mechanism.
C is wrong because Multi-AZ doesn't span Regions.
D is more manual and error-prone.

NEW QUESTION # 433
A solutions architect is designing an application to accept timesheet entries from employees on their mobile devices. Timesheets will be submitted weekly, with most of the submissions occurring on Friday. The data must be stored in a format that allows payroll administrators to run monthly reports. The infrastructure must be highly available and scale to match the rate of incoming data and reporting requests.
Which combination of steps meets these requirements while minimizing operational overhead? (Select TWO.)

A. Deploy the application to Amazon EC2 On-Demand Instances With load balancing across multiple Availability Zones. Use scheduled Amazon EC2 Auto Scaling to add capacity before the high volume of submissions on Fridays.
B. Deploy the application in a container using Amazon Elastic Container Service (Amazon ECS) with load balancing across multiple Availability Zones. Use scheduled Service Auto Scaling to add capacity before the high volume of submissions on Fridays.
C. Store the timesheet submission data in Amazon S3. Use Amazon Athena and Amazon OuickSight to generate the reports using Amazon S3 as the data source.
D. Store the timesheet submission data in Amazon Redshift. Use Amazon OuickSight to generate the reports using Amazon Redshift as the data source.
E. Deploy the application front end to an Amazon S3 bucket served by Amazon CloudFront. Deploy the application backend using Amazon API Gateway with an AWS Lambda proxy integration.

Answer: A,C

NEW QUESTION # 434
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 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.
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 .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.
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 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.

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 # 435
......

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