Reliable Amazon SAP-C02 Test Syllabus | SAP-C02 Latest Exam Duration

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To prepare for the SAP-C02 exam, you will need to have a deep understanding of AWS services and how they work together. You will also need to be familiar with AWS tools, such as CloudFormation, Elastic Beanstalk, and OpsWorks, as well as other third-party tools that integrate with AWS. Additionally, you should have experience with designing and deploying highly available and fault-tolerant systems on AWS.

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.

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Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) certification exam is a highly sought-after certification for IT professionals who want to validate their advanced technical skills and expertise in designing and deploying scalable, fault-tolerant systems on AWS. AWS Certified Solutions Architect - Professional (SAP-C02) certification is intended for individuals who have already obtained the AWS Certified Solutions Architect - Associate certification and have at least two years of hands-on experience in designing and deploying cloud-based solutions using AWS.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q19-Q24):

NEW QUESTION # 19
A company standardized its method of deploying applications to AWS using AWS CodePipeline and AWS Cloud Formation. The applications are in Typescript and Python. The company has recently acquired another business that deploys applications to AWS using Python scripts.
Developers from the newly acquired company are hesitant to move their applications under CloudFormation because it would require than they learn a new domain-specific language and eliminate their access to language features, such as looping.
How can the acquired applications quickly be brought up to deployment standards while addressing the developers' concerns?

A. Create CloudFormation templates and re-use parts of the Python scripts as instance user data. Use the AWS Cloud Development Kit (AWS CDK) to deploy the application using these templates. Incorporate the AWS CDK into CodePipeline and deploy the application to AWS using these templates.
B. Define the AWS resources using Typescript or Python. Use the AWS Cloud Development Kit (AWS CDK) to create CloudFormation templates from the developers' code, and use the AWS CDK to create CloudFormation stacks. Incorporate the AWS CDK as a CodeBuild job in CodePipeline.
C. Standardize on AWS OpsWorks. Integrate OpsWorks with CodePipeline. Have the developers create Chef recipes to deploy their applications on AWS.
D. Use a third-party resource provisioning engine inside AWS CodeBuild to standardize the deployment processes of the existing and acquired company. Orchestrate the CodeBuild job using CodePipeline.

Answer: B

NEW QUESTION # 20
A company is planning to migrate 1,000 on-premises servers to AWS. The servers run on several VMware clusters in the company's data center. As part of the migration plan, the company wants to gather server metrics such as CPU details, RAM usage, operating system information, and running processes. The company then wants to query and analyze the data.
Which solution will meet these requirements?

A. Export only the VM performance information from the on-premises hosts. Directly import the required data into AWS Migration Hub. Update any missing information in Migration Hub. Query the data by using Amazon QuickSight.
B. Create a script to automatically gather the server information from the on-premises hosts. Use the AWS CLI to run the put-resource-attributes command to store the detailed server data in AWS Migration Hub. Query the data directly in the Migration Hub console.
C. Deploy and configure the AWS Agentless Discovery Connector virtual appliance on the on-premises hosts. Configure Data Exploration in AWS Migration Hub. Use AWS Glue to perform an ETL job against the data. Query the data by using Amazon S3 Select.
D. Deploy the AWS Application Discovery Agent to each on-premises server. Configure Data Exploration in AWS Migration Hub. Use Amazon Athena to run predefined queries against the data in Amazon S3.

Answer: C

Explanation:
The Agentless Discovery Connector is a virtual appliance that can be deployed on-premises to automatically discover the servers, applications, and network infrastructure in the data center. It can collect server metrics such as CPU details, RAM usage, operating system information, and running processes. The data collected can then be used in AWS Migration Hub to track the migration progress and identify dependencies.
AWS Glue can be used to perform an ETL job on the data collected by the Agentless Discovery Connector to prepare the data for analysis. The data can then be stored in Amazon S3 and queried using Amazon S3 Select, which allows you to retrieve specific data from a S3 object.
AWS Migration Hub provides a centralized place to track and monitor the progress of an application migration. The service allow you to track on-premises and cloud-based resources, and it provides a holistic view of your migration progress.
Reference:
https://aws.amazon.com/migration-hub/
https://aws.amazon.com/discovery-connector/
https://aws.amazon.com/glue/
https://aws.amazon.com/s3/features/select/

NEW QUESTION # 21
A company has purchased appliances from different vendors. The appliances all have loT sensors. The sensors send status information in the vendors' proprietary formats to a legacy application that parses the information into JSON. The parsing is simple, but each vendor has a unique format. Once daily, the application parses all the JSON records and stores the records in a relational database for analysis.
The company needs to design a new data analysis solution that can deliver faster and optimize costs.
Which solution will meet these requirements?

A. Create an AWS Transfer for SFTP server. Update the loT sensor code to send the information as a .csv file through SFTP to the server. Use AWS Glue to catalog the files. Use Amazon Athena for analysis.
B. Use AWS Snowball Edge to collect data from the loT sensors directly to perform local analysis. Periodically collect the data into Amazon Redshift to perform global analysis.
C. Connect the loT sensors to AWS loT Core. Set a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3. Use AWS Glue to catalog the files. Use Amazon Athena and Amazon OuickSight for analysis.
D. Migrate the application server to AWS Fargate, which will receive the information from loT sensors and parse the information into a relational format. Save the parsed information to Amazon Redshift for analysis.

Answer: A

NEW QUESTION # 22
A company wants to use AWS IAM Identity Center (AWS Single Sign-On) to manage employee access to AWS services. The company uses AWS Organizations to manage its AWS accounts.
Each employee has their own IAM user. Each IAM user is a member of at least one IAM group. Each IAM group has an attached policy that allows members to assume specific roles across the accounts. The roles contain appropriate policies for the expected activities of each group of users in each account. All relevant accounts exist inside a single OU.
The company has already created new users and groups in IAM Identity Center to match the permissions that exist in IAM.
How should the company use IAM Identity Center to implement the existing permissions?

A. Add the OU to the accounts configuration in IAM Identity Center. For each group, create policies in each account. Create a new permission set. Add the new policies to the permission set as customer managed policies. Attach each new policy to the correct account in the account configuration in IAM Identity Center.
B. For each group, create a new permission set. Create policies in each account. Give each policy a unique name. Set the path of each policy to match the name of the permission set. Assign user access to the AWS accounts in IAM Identity Center.
C. For each group, create a new permission set. Attach the relevant existing IAM roles in each account to the permission set. Create a new customer managed policy that allows the group to assume the roles.
Assign user access to the AWS accounts in IAM Identity Center.
D. For each group, create policies in each account. Give the policies the same name in each account. Create a new permission set. Add the name of the new policies to the permission set. Assign user access to the AWS accounts in IAM Identity Center.

Answer: C

Explanation:
Explanation
The correct answer is B. This option uses IAM Identity Center to create permission sets that map to the existing IAM roles in each account. This way, the company can leverage the existing policies and roles that are already configured for the expected activities of each group of users in each account. The company also needs to create a customer managed policy that allows the group to assume the roles and attach it to the permission set. This policy grants the necessary permissions for IAM Identity Center to assume the roles on behalf of the users. Finally, the company can assign user access to the AWS accounts in IAM Identity Center, which will automatically create IAM users and groups in each account based on the permission sets.
Option A is incorrect because it requires creating new policies in each account and giving them the same name. This is not necessary and adds complexity and overhead. The company can use the existing IAM roles and policies that are already configured for each account.
Option C is incorrect because it requires creating new policies in each account and giving them unique names.
This is also not necessary and adds complexity and overhead. The company can use the existing IAM roles and policies that are already configured for each account.
Option D is incorrect because it requires adding the OU to the accounts configuration in IAM Identity Center.
This is not supported by IAM Identity Center, which only allows adding individual accounts or all accounts in an organization.

NEW QUESTION # 23
A company has a web application that uses Amazon API Gateway. AWS Lambda and Amazon DynamoDB A recent marketing campaign has increased demand Monitoring software reports that many requests have significantly longer response times than before the marketing campaign A solutions architect enabled Amazon CloudWatch Logs for API Gateway and noticed that errors are occurring on 20% of the requests. In CloudWatch. the Lambda function. Throttles metric represents 1% of the requests and the Errors metric represents 10% of the requests Application logs indicate that, when errors occur there is a call to DynamoDB What change should the solutions architect make to improve the current response times as the web application becomes more popular'?

A. Implement DynamoDB auto scaling on the table
B. Increase the concurrency limit of the Lambda function
C. Re-create the DynamoDB table with a better-partitioned primary index.
D. Increase the API Gateway throttle limit

Answer: A

Explanation:
* Enable DynamoDB Auto Scaling:
* Navigate to the DynamoDB console and select the table experiencing high demand.
* Go to the "Capacity" tab and enable auto scaling for both read and write capacity units. Auto scaling adjusts the provisioned throughput capacity automatically in response to actual traffic patterns, ensuring the table can handle the increased load.
* Configure Auto Scaling Policies:
* Set the minimum and maximum capacity units to define the range within which auto scaling can adjust the provisioned throughput.
* Specify target utilization percentages for read and write operations, typically around 70%, to maintain a balance between performance and cost.
* Monitor and Adjust:
* Use Amazon CloudWatch to monitor the auto scaling activity and ensure it is effectively handling the increased demand.
* Adjust the auto scaling settings if necessary to better match the traffic patterns and application requirements.
By enabling DynamoDB auto scaling, you ensure that the database can handle the fluctuating traffic volumes without manual intervention, improving response times and reducing errors.
References
* AWS Compute Blog on Using API Gateway as a Proxy for DynamoDB#60#.
* AWS Database Blog on DynamoDB Accelerator (DAX)#59#.

NEW QUESTION # 24
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Reliable Amazon SAP-C02 Test Syllabus | SAP-C02 Latest Exam Duration

SAP-C02 Exam Braindumps Convey All Important Information of SAP-C02 Exam

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q19-Q24):

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