SAP-C02 BRAIN EXAM & CERTIFICATE SAP-C02 EXAM

SAP-C02 Brain Exam & Certificate SAP-C02 Exam

SAP-C02 Brain Exam & Certificate SAP-C02 Exam

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The SAP-C02 exam covers a wide range of AWS services and features, including compute, storage, networking, database, security, and application integration. It also tests the candidate's ability to design and implement complex, multi-tier applications and architectures using AWS best practices and architectural patterns. SAP-C02 exam consists of multiple-choice and multiple-response questions, and candidates have 180 minutes to complete it.

The AWS Certified Solutions Architect - Professional (SAP-C02) exam covers a wide range of topics, including AWS services and their integration, AWS architecture best practices, disaster recovery and business continuity, migration strategies, and security best practices. SAP-C02 Exam also tests the candidate's knowledge of AWS cost optimization, deployment and management, and troubleshooting.

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This kind of prep method is effective when preparing for the Amazon SAP-C02 certification exam since the cert demands polished skills and an inside-out understanding of the syllabus. These skills can be achieved when you go through intensive Amazon SAP-C02 Exam Training and attempt actual Amazon SAP-C02.

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.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q169-Q174):

NEW QUESTION # 169
A company maintains information on premises in approximately 1 million .csv files that are hosted on a VM. The data initially is 10 TB in size and grows at a rate of 1 TB each week. The company needs to automate backups of the data to the AWS Cloud.
Backups of the data must occur daily. The company needs a solution that applies custom filters to back up only a subset of the data that is located in designated source directories. The company has set up an AWS Direct Connect connection.
Which solution will meet the backup requirements with the LEAST operational overhead?

  • A. Use an AWS Snowball Edge device for the initial backup. Use AWS DataSync for incremental backups to Amazon S3 daily.
  • B. Create a backup plan in AWS Backup to back up the data to Amazon S3. Schedule the backup plan to run daily.
  • C. Install the AWS DataSync agent as a VM that runs on the on-premises hypervisor. Configure a DataSync task to replicate the data to Amazon S3 daily.
  • D. Use the Amazon S3 CopyObject API operation with multipart upload to copy the existing data to Amazon S3. Use the CopyObject API operation to replicate new data to Amazon S3 daily.

Answer: C

Explanation:
AWS DataSync is an online data transfer service that is designed to help customers get their data to and from AWS quickly, easily, and securely. Using DataSync, you can copy data from your on-premises NFS or SMB shares directly to Amazon S3, Amazon EFS, or Amazon FSx for Windows File Server. DataSync uses a purpose-built, parallel transfer protocol for speeds up to 10x faster than open source tools. DataSync also has built-in verification of data both in flight and at rest, so you can be confident that your data was transferred successfully. DataSync allows you to apply filters to select which files or folders to transfer, based on file name, size, or modification time. You can also schedule your DataSync tasks to run daily, weekly, or monthly, or on demand. DataSync is integrated with AWS Direct Connect, so you can take advantage of your existing private connection to AWS. DataSync is also a fully managed service, so you do not need to provision, configure, or maintain any infrastructure for data transfer.
Option A is incorrect because the Amazon S3 CopyObject API operation does not support filtering or scheduling, and it would require you to write and maintain custom scripts to automate the backup process.
Option B is incorrect because AWS Backup does not support filtering or transferring data from on-premises sources to Amazon S3. AWS Backup is a fully managed backup service that makes it easy to centralize and automate the backup of data across AWS services.
Option D is incorrect because AWS Snowball Edge is a physical device that is used for offline data transfer when network bandwidth is limited or unavailable. It is not suitable for daily backups or incremental transfers. AWS Snowball Edge also does not support filtering or scheduling.
Reference:
1: Considering four different replication options for data in Amazon S3
2: Protect your file and backup archives using AWS DataSync and Amazon S3 Glacier
3: AWS DataSync FAQs


NEW QUESTION # 170
A company hosts a large on-premises MySQL database at its main office that supports an issue tracking system used by employees around the world. The company already uses AWS for some workloads and has created an Amazon Route 53 entry for the database endpoint that points to the on-premises database.
Management is concerned about the database being a single point of failure and wants a solutions architect to migrate the database to AWS without any data loss or downtime.
Which set of actions should the solutions architect implement?

  • A. Create an Amazon Aurora DB cluster. Use AWS Database Migration Service (AWS DMS) to do a full load with continuous replication from the on-premises database to Aurora. When the migration is complete, update the Route 53 entry for the database to point to the Aurora cluster endpoint, and shut down the on-premises database.
  • B. Create a backup of the database and restore it to an Amazon Aurora multi-master cluster. This Aurora cluster will be in a master-master replication configuration with the on-premises database. Update the Route 53 entry for the database to point to the Aurora cluster endpoint. and shut down the on-premises database.
  • C. Create an Amazon Aurora DB cluster. Use AWS Database Migration Service (AWS DMS) to do a full load from the on-premises database lo Aurora. Update the Route 53 entry for the database to point to the Aurora cluster endpoint. and shut down the on-premises database.
  • D. During nonbusiness hours, shut down the on-premises database and create a backup. Restore this backup to an Amazon Aurora DB cluster. When the restoration is complete, update the Route 53 entry for the database to point to the Aurora cluster endpoint, and shut down the on-premises database.

Answer: A

Explanation:
Explanation
"Around the world" eliminates possibility for the maintenance window at night. The other difference is ability to leverage continuous replication in MySQL to Aurora case.


NEW QUESTION # 171
An online retail company hosts its stateful web-based application and MySQL database in an on-premises data center on a single server. The company wants to increase its customer base by conducting more marketing campaigns and promotions. In preparation, the company wants to migrate its application and database to AWS to increase the reliability of its architecture.
Which solution should provide the HIGHEST level of reliability?

  • A. Migrate the database to Amazon Aurora MySQL. Deploy the application in an Auto Scaling group on Amazon EC2 instances behind an Application Load Balancer. Store sessions in an Amazon ElastiCache for Redis replication group.
  • B. Migrate the database to an Amazon RDS MySQL Multi-AZ DB instance. Deploy the application in an Auto Scaling group on Amazon EC2 instances behind an Application Load Balancer. Store sessions in Amazon Neptune.
  • C. Migrate the database to an Amazon RDS MariaDB Multi-AZ DB instance. Deploy the application in an Auto Scaling group on Amazon EC2 instances behind an Application Load Balancer. Store sessions in Amazon ElastiCache for Memcached.
  • D. Migrate the database to Amazon DocumentDB (with MongoDB compatibility). Deploy the application in an Auto Scaling group on Amazon EC2 instances behind a Network Load Balancer. Store sessions in Amazon Kinesis Data Firehose.

Answer: A

Explanation:
https://www.bmc.com/blogs/reliability-vs-availability/


NEW QUESTION # 172
A company has deployed an application on AWS Elastic Beanstalk. The application uses Amazon Aurora for the database layer. An Amazon CloudFront distribution serves web requests and includes the Elastic Beanstalk domain name as the origin server. The distribution is configured with an alternate domain name that visitors use when they access the application.
Each week, the company takes the application out of service for routine maintenance. During the time that the application is unavailable, the company wants visitors to receive an informational message instead of a CloudFront error message.
A solutions architect creates an Amazon S3 bucket as the first step in the process.
Which combination of steps should the solutions architect take next to meet the requirements? (Choose three.)

  • A. During the weekly maintenance, edit the default cache behavior to use the S3 origin. Revert the change when the maintenance is complete.
  • B. Create a new CloudFront distribution. Set the S3 bucket as the origin.
  • C. During the weekly maintenance, create a cache behavior for the S3 origin on the new distribution. Set the path pattern to Set the precedence to 0. Delete the cache behavior when the maintenance is complete.
  • D. During the weekly maintenance, configure Elastic Beanstalk to serve traffic from the S3 bucket.
  • E. Upload static informational content to the S3 bucket.
  • F. Set the S3 bucket as a second origin in the original CloudFront distribution. Configure the distribution and the S3 bucket to use an origin access identity (OAI).

Answer: A,E,F

Explanation:
Explanation
The company wants to serve static content from an S3 bucket during the maintenance period. To do this, the following steps are required:
* Upload static informational content to the S3 bucket. This will provide the source of the content that will be served to the visitors.
* Set the S3 bucket as a second origin in the original CloudFront distribution. Configure the distribution and the S3 bucket to use an origin access identity (OAI). This will allow CloudFront to access the S3 bucket securely and prevent public access to the bucket.
* During the weekly maintenance, edit the default cache behavior to use the S3 origin. Revert the change when the maintenance is complete. This will redirect all web requests to the S3 bucket instead of the Elastic Beanstalk domain name.
The other options are not correct because:
* Creating a new CloudFront distribution is not necessary and would require changing the alternate domain name configuration.
* Creating a cache behavior for the S3 origin on a new distribution would not work because the visitors
* would still access the original distribution using the alternate domain name.
* Configuring Elastic Beanstalk to serve traffic from the S3 bucket is not possible and would not achieve the desired result.
References:
* https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/DownloadDistS3AndCustomOri
* https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-restricting-acces
* https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/distribution-web-values-specify.


NEW QUESTION # 173
A company has a website that runs on four Amazon EC2 instances that are behind an Application Load Balancer (ALB). When the ALB detects that an EC2 instance is no longer available, an Amazon CloudWatch alarm enters the ALARM state. A member of the company's operations team then manually adds a new EC2 instance behind the ALB.
A solutions architect needs to design a highly available solution that automatically handles the replacement of EC2 instances. The company needs to minimize downtime during the switch to the new solution.
Which set of steps should the solutions architect take to meet these requirements?

  • A. Create an Auto Scaling group that is configured to handle the web application traffic. Attach a new launch template to the Auto Scaling group. Attach the Auto Scaling group to the existing ALB. Wait for the existing ALB to register the existing EC2 instances with the Auto Scaling group.
  • B. Create an Auto Scaling group that is configured to handle the web application traffic. Attach a new launch template to the Auto Scaling group. Attach the Auto Scaling group to the existing ALB. Attach the existing EC2 instances to the Auto Scaling group.
  • C. Delete the existing ALB and the EC2 instances. Create an Auto Scaling group that is configured to handle the web application traffic. Attach a new launch template to the Auto Scaling group. Create a new ALB. Attach the Auto Scaling group to the new ALB. Wait for the Auto Scaling group to launch the minimum number of EC2 instances.
  • D. Delete the existing ALB. Create an Auto Scaling group that is configured to handle the web application traffic. Attach a new launch template to the Auto Scaling group. Create a new ALB. Attach the Auto Scaling group to the new ALB. Attach the existing EC2 instances to the Auto Scaling group.

Answer: B

Explanation:
The Auto Scaling group can automatically launch and terminate EC2 instances based on the demand and health of the web application. The launch template can specify the configuration of the EC2 instances, such as the AMI, instance type, security group, and user data. The existing ALB can distribute the traffic to the EC2 instances in the Auto Scaling group. The existing EC2 instances can be attached to the Auto Scaling group without deleting them or the ALB. This option minimizes downtime and preserves the current setup of the web application. Reference: [What is Amazon EC2 Auto Scaling?], [Launch templates], [Attach a load balancer to your Auto Scaling group], [Attach EC2 instances to your Auto Scaling group]


NEW QUESTION # 174
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