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Amazon SAP-C02 Exam Overview:
| Certification Vendor: | Amazon Web Services (AWS) |
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| Exam Name: | AWS Certified Solutions Architect – Professional (SAP-C02) |
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| Exam Number: | SAP-C02 |
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| Exam Duration: | 180 minutes |
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| Exam Price: | USD 300 |
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| Related Certifications: | AWS Certified Developer – Associate AWS Certified DevOps Engineer – Professional AWS Certified SysOps Administrator – Associate AWS Certified Solutions Architect – Associate |
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| Exam Format: | Multiple response, Multiple choice |
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| Available Languages: | Spanish (Latin America), Japanese, Traditional Chinese, English, Simplified Chinese, Portuguese (Brazil), Korean |
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| Real Exam Qty: | Approximately 75 (multiple choice and multiple response; includes unscored questions) |
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| Passing Score: | 750 (scaled score out of 1000) |
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| Certificate Validity Period: | 3 years |
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| Recommended Training: | AWS Skill Builder AWS Training and Certification |
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| Exam Registration: | AWS Certification Official Registration Pearson VUE AWS Exam Scheduling |
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| Sample Questions: | Amazon SAP-C02 Sample Questions |
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| Exam Way: | Online proctored exam or test center (Pearson VUE) |
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| Pre Condition: | No formal prerequisites required; however, AWS recommends 2+ years of hands-on experience designing and deploying cloud architecture on AWS. |
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| Official Syllabus URL: | https://aws.amazon.com/certification/certified-solutions-architect-professional/ |
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Candidates preparing for the AWS Certified Solutions Architect - Professional (SAP-C02) exam should have a minimum of two years of experience designing and deploying AWS-based applications. Candidates should also have a deep understanding of AWS services, architecture patterns, and best practices. AWS offers a variety of training courses, practice exams, and hands-on labs to help candidates prepare for the SAP-C02 Exam.
Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q31-Q36):
NEW QUESTION # 31
A company is migrating to AWS and needs to inventory physical and virtual servers, apps, and database relationships to properly rightsize and plan migration.
- A. Use Migration Hub import tool.
- B. Use Migration Hub with Discovery Agent and Strategy Recommendations.
- C. Use Migration Evaluator with Agentless Collector.
- D. Use Migration Hub with Agentless Collector and Migration Service.
Answer: B
Explanation:
Migration Hub Discovery Agentcollectsdeep host-level data, includingprocesses, connections, dependencies, etc. Combined withStrategy Recommendations, it offers accurate insights for planning cloud migration.
Migration Hub Strategy Recommendations
NEW QUESTION # 32
A company has an application that uses Amazon EC2 instances in an Auto Scaling group. The quality assurance (QA) department needs to launch a large number of short-lived environments to test the application.
The application environments are currently launched by the manager of the department using an AWS CloudFormation template To launch the stack, the manager uses a role with permission to use CloudFormation EC2. and Auto Scaling APIs. The manager wants to allow testers to launch their own environments, but does not want to grant broad permissions to each user Which set up would achieve these goals?
- A. Upload the AWS CloudFormation template to Amazon S3. Give users in the QA department permission to assume the manager's role and add a policy that restricts the permissions to the template and the resources it creates Train users to launch the template from the CloudFormation console
- B. Upload the AWS CloudFormation template to Amazon S3 Give users in the QA department permission to use CloudFormation and S3 APIs, with conditions that restrict the permissions to the template and the resources it creates Train users to launch the template from the CloudFormation console.
- C. Create an AWS Service Catalog product from the environment template Add a launch constraint to the product with the existing role Give users in the QA department permission to use AWS Service Catalog APIs only_ Train users to launch the template from the AWS Service Catalog console.
- D. Create an AWS Elastic Beanstalk application from the environment template Give users in the QA department permission to use Elastic Beanstalk permissions only Train users to launch Elastic Beanstalk environments with the Elastic Beanstalk CLI, passing the existing role to the environment as a service role
Answer: C
NEW QUESTION # 33
A solutions architect has been assigned to migrate a 50 TB Oracle data warehouse that contains sales data from on-premises to Amazon Redshift Major updates to the sales data occur on the final calendar day of the month For the remainder of the month, the data warehouse only receives minor daily updates and is primarily used for reading and reporting Because of this the migration process must start on the first day of the month and must be complete before the next set of updates occur. This provides approximately 30 days to complete the migration and ensure that the minor daily changes have been synchronized with the Amazon Redshift data warehouse Because the migration cannot impact normal business network operations, the bandwidth allocated to the migration for moving data over the internet is 50 Mbps The company wants to keep data migration costs low Which steps will allow the solutions architect to perform the migration within the specified timeline?
- A. Create an AWS Snowball import job. Configure a server in the company's data center with an extraction agent. Use AWS SCT to manage the extraction agent and convert the Oracle schema to an Amazon Redshift schema. Create a new project in AWS SCT using the registered data extraction agent. Create a local task and an AWS DMS task in AWS SCT with replication of ongoing changes. Copy data to the Snowball device and return the Snowball device to AWS. Allow AWS DMS to copy data from Amazon S3 to Amazon Redshift. Verify that the data migration is complete and perform the cut over to Amazon Redshift.
- B. Create an AWS Snowball import job Export a backup of the Oracle data warehouse Copy the exported data to the Snowball device Return the Snowball device to AWS Create an Amazon RDS for Oracle database and restore the backup file to that RDS instance Create an AWS DMS task to migrate the data from the RDS for Oracle database to Amazon Redshift Copy daily incremental backups from Oracle in the data center to the RDS for Oracle database over the internet Verify the data migration is complete and perform the cut over to Amazon Redshift.
- C. Install Oracle database software on an Amazon EC2 instance To minimize the migration time configure VPN connectivity between AWS and the company's data center by provisioning a 1 Gbps AWS Direct Connect connection Configure the Oracle database running on Amazon EC2 to be a read replica of the data center Oracle database Start the synchronization process between the company's on-premises data center and the Oracle database on Amazon EC2 When the Oracle database on Amazon EC2 is synchronized with the on-premises database create an AWS DMS ongoing replication task from the Oracle database read replica that is running on Amazon EC2 to Amazon Redshift Verify the data migration is complete and perform the cut over to Amazon Redshift.
- D. Install Oracle database software on an Amazon EC2 instance Configure VPN connectivity between AWS and the company's data center Configure the Oracle database running on Amazon EC2 to join the Oracle Real Application Clusters (RAC) When the Oracle database on Amazon EC2 finishes synchronizing, create an AWS DMS ongoing replication task to migrate the data from the Oracle database on Amazon EC2 to Amazon Redshift Verify the data migration is complete and perform the cut over to Amazon Redshift.
Answer: A
Explanation:
Create an AWS Snowball import job. Configure a server in the company's data center with an extraction agent. Use AWS SCT to manage the extraction agent and convert the Oracle schema to an Amazon Redshift schema. Create a new project in AWS SCT using the registered data extraction agent. Create a local task and an AWS DMS task in AWS SCT with replication of ongoing changes. Copy data to the Snowball device and return the Snowball device to AWS. Allow AWS DMS to copy data from Amazon S3 to Amazon Redshift. Verify that the data migration is complete and perform the cut over to Amazon Redshift.
https://aws.amazon.com/getting-started/hands-on/migrate-oracle-to-amazon-redshift/
NEW QUESTION # 34
A video processing company wants to build a machine learning (ML) model by using 600 TB of compressed data that is stored as thousands of files in the company's on-premises network attached storage system. The company does not have the necessary compute resources on premises for ML experiments and wants to use AWS.
The company needs to complete the data transfer to AWS within 3 weeks. The data transfer will be a one-time transfer. The data must be encrypted in transit. The measured upload speed of the company's internet connection is 100 Mbps, and multiple departments share the connection.
Which solution will meet these requirements MOST cost-effectively?
- A. Order several AWS Snowball Edge Storage Optimized devices by using the AWS Management Console. Configure the devices with a destination S3 bucket. Copy the data to the devices. Ship the devices back to AWS.
- B. Create a VPN connection between the on-premises network storage and the nearest AWS Region.
Transfer the data over the VPN connection. - C. Set up a 10 Gbps AWS Direct Connect connection between the company location and the nearest AWS Region. Transfer the data over a VPN connection into the Region to store the data in Amazon S3.
- D. Deploy an AWS Storage Gateway file gateway on premises. Configure the file gateway with a destination S3 bucket. Copy the data to the file gateway.
Answer: A
Explanation:
This solution will meet the requirements of the company as it provides a secure, cost-effective and fast way of transferring large data sets from on-premises to AWS. Snowball Edge devices encrypt the data during transfer, and the devices are shipped back to AWS for import into S3. This option is more cost effective than using Direct Connect or VPN connections as it does not require the company to pay for long-term dedicated connections.
NEW QUESTION # 35
A company wants to migrate an application to Amazon EC2 from VMware Infrastructure that runs in an on-premises data center. A solutions architect must preserve the software and configuration settings during the migration.
What should the solutions architect do to meet these requirements?
- A. Create a managed-instance activation for a hybrid environment in AWS Systems Manager. Download and install Systems Manager Agent on the on-premises VM Register the VM with Systems Manager to be a managed instance Use AWS Backup to create a snapshot of the VM and create an AMI. Launch an EC2 instance that is based on the AMI
- B. Configure the AWS DataSync agent to start replicating the data store to Amazon FSx for Windows File Server Use the SMB share to host the VMware data store. Use VM Import/Export to move the VMs to Amazon EC2.
- C. Use the VMware vSphere client to export the application as an image in Open Virealization Format (OVF) format Create an Amazon S3 bucket to store the image in the destination AWS Region. Create and apply an IAM role for VM Import Use the AWS CLI to run the EC2 import command.
- D. . Configure AWS Storage Gateway for files service to export a Common Internet File System (CIFSJ share. Create a backup copy to the shared folder. Sign in to the AWS Management Console and create an AMI from the backup copy Launch an EC2 instance that is based on the AMI.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/vm-import/latest/userguide/vmimport-image-import.html
- Export an OVF Template
- Create / use an Amazon S3 bucket for storing the exported images. The bucket must be in the Region where you want to import your VMs.
- Create an IAM role named vmimport.
- You'll use AWS CLI to run the import commands.
https://aws.amazon.com/premiumsupport/knowledge-center/import-instances/
NEW QUESTION # 36
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