SAP-C02 Exam Dumps - AWS Certified Solutions Architect - Professional

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Question # 113

A company needs to migrate its on-premises database fleet to Amazon RDS. The company is currently using a mixture of Microsoft SQL Server, and Oracle databases. Some of the databases have custom schemas and stored procedures.

Which combination of steps should the company take for the migration? (Select TWO.)

Use Migration Evaluator Quick Insights to analyze the source databases and to identify the stored procedures that need to be migrated.

Use AWS Application Migration Service to analyze the source databases and to identify the stored procedures that need to be migrated.

Use AWS SCT to analyze the source databases for changes that are required.

Use AWS DM5 to migrate the source databases to Amazon RD5.

Use AWS DataSync to migrate the data from the source databases to Amazon RDS.

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Question # 114

A company runs AWS workloads that are integrated with software as a service (SaaS) applications. The company needs to analyze the SaaS applications to identify unused licenses. Which solution will meet this requirement with the LEAST operational overhead?

Use AWS License Manager automated discovery to retrieve audit logs from the SaaS applications. Use Amazon Athena to analyze the data and to identify unused SaaS licenses.

Create an AWS Lambda function to retrieve audit logs from the SaaS applications and to store the data in Amazon S3. Use Amazon EMR to analyze the data and to identify unused SaaS licenses.

Use AWS AppFabric to ingest audit logs from the SaaS applications into Amazon S3. Use Amazon Athena to analyze the data and to identify unused SaaS licenses.

Use AWS App Runner to ingest audit logs from the SaaS applications into Amazon S3. Use Amazon EMR to analyze the data and to identify unused SaaS licenses.

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Question # 115

A company has on-premises Linux, Windows, and Ubuntu servers that run many applications. The servers run on physical machines and VMs. The company plans to migrate the servers to Amazon EC2 instances.

The company needs to accomplish the following goals:

â€¢ Measure actual server usage, system performance, and running processes.

â€¢ List system configurations.

â€¢ Understand details of the network connections between systems.

â€¢ Analyze application components and dependencies within on-premises workloads.

â€¢ Receive EC2 instance sizing recommendations from AWS.

Which solution will meet these requirements?

Install AWS Systems Manager Agent (SSM Agent) on the physical machines and VMs to gather performance and usage information from servers. Use Systems Manager Application Manager to discover existing servers and to group servers into applications before the migration. Generate EC2 instance recommendations by using AWS Pricing Calculator.

Install the Amazon Inspector agent on the physical machines and VMs to gather performance and usage information from servers. Use AWS Migration Hub to discover existing servers and to group servers into applications before the migration. Generate EC2 instance recommendations by using AWS Compute Optimizer.

Install the AWS Application Discovery Agent on the physical machines and VMs to gather performance and usage information from servers. Use AWS Migration Hub to discover existing servers and to group servers into applications before the migration. Generate EC2 instance recommendations by using Migration Hub.

Install the unified Amazon CloudWatch agent on the physical machines and VMs to gather performance and usage information from servers. Use AWS Migration Hub to discover existing servers and to group servers into applications before the migration. Generate EC2 instance recommendations by using AWS Compute Optimizer.

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Answer:

Explanation:

For migration planning, AWS provides specific tooling to discover on-premises servers, collect detailed performance and configuration data, and analyze application dependencies. The primary service for this purpose is AWS Application Discovery Service, which integrates with AWS Migration Hub.

The AWS Application Discovery Agent is installed on on-premises physical servers and VMs. It collects detailed information such as CPU, memory, and disk utilization; processes and services running on the system; system configuration details; and network connections between systems. This allows the company to understand how servers communicate, what applications are running, and what dependencies exist between components.

This data is sent to AWS Application Discovery Service and surfaced through AWS Migration Hub, where the company can view discovered servers, group them logically into applications, and analyze migration readiness. Migration Hub can use this collected data to provide recommendations for EC2 instance sizing that are based on actual on-premises utilization metrics, helping choose appropriate EC2 instance types and sizes.

Option C directly describes installing the AWS Application Discovery Agent, using AWS Migration Hub to discover and group servers into applications, and using Migration Hub to generate EC2 instance recommendations. This aligns with AWSâ€™s migration assessment tooling and meets all the stated goals: performance measurement, system configuration listing, network connection understanding, dependency analysis, and instance sizing recommendations.

Option A uses AWS Systems Manager Agent and Application Manager. While Systems Manager can manage servers and collect some information, it is not the primary tool for detailed migration discovery, networking dependency mapping, and migration-focused analysis. It also suggests using AWS Pricing Calculator for instance recommendations, which requires manual input and does not automatically derive recommendations from observed utilization and dependencies.

Option B suggests using the Amazon Inspector agent to gather performance and usage information. Amazon Inspector is designed for vulnerability and security assessments, not for detailed migration discovery or dependency mapping. Additionally, AWS Compute Optimizer currently bases its recommendations on usage metrics from AWS resources, not on-premises servers.

Option D uses the CloudWatch agent to collect metrics and then Migration Hub and Compute Optimizer. The CloudWatch agent is not the standard agent for migration discovery and dependency analysis of on-premises workloads. Also, Compute Optimizer focuses on optimization of existing AWS resources rather than creating recommendations based on on-premises utilization.

Therefore, installing the AWS Application Discovery Agent and using AWS Migration Hub (option C) is the correct solution to satisfy all the requirements for migration assessment and EC2 sizing recommendations.

[References:AWS documentation on AWS Application Discovery Service and AWS Migration Hub for discovering on-premises servers, analyzing dependencies, and planning migrations.AWS migration guidance on using discovery data to generate EC2 instance sizing recommendations.]

Question # 116

A company runs its application in the eu-west-1 Region and has one account for each of its environments development, testing, and production All the environments are running 24 hours a day 7 days a week by using stateful Amazon EC2 instances and Amazon RDS for MySQL databases The databases are between 500 GB and 800 GB in size

The development team and testing team work on business days during business hours, but the production environment operates 24 hours a day. 7 days a week. The company wants to reduce costs AH resources are tagged with an environment tag with either development, testing, or production as the key.

What should a solutions architect do to reduce costs with the LEAST operational effort?

Create an Amazon EventBridge (Amazon CloudWatch Events) rule that runs once every day Configure the rule to invoke one AWS Lambda function that starts or stops instances based on the tag day and time.

Create an Amazon EventBridge (Amazon CloudWatch Events) rule that runs every business day in the evening. Configure the rule to invoke an AWS Lambda function that stops instances based on the tag-Create a second EventBridge (CloudWatch Events) rule that runs every business day in the morning Configure the second rule to invoke another Lambda function that starts instances based on the tag

Create an Amazon EventBridge (Amazon CloudWatch Events) rule that runs every business day in the evening Configure the rule to invoke an AWS Lambda function that terminates instances based on the tag Create a second EventBridge (CloudWatch Events) rule that runs every business day in the morning Configure the second rule to invoke another Lambda function that restores the instances from their last backup based on the tag.

Create an Amazon EventBridge rule that runs every hour. Configure the rule to invoke one AWS Lambda function that terminates or restores instances from their last backup based on the tag. day, and time.

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Question # 117

Question:

A company hosts an application that uses several Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). During the initial startup of the EC2 instances, the EC2 instances run user data scripts to download critical content for the application from an Amazon S3 bucket.

The EC2 instances are launching correctly. However, after a period of time, the EC2 instances are terminated with the following error message:

â€œAn instance was taken out of service in response to an ELB system health check failure.â€

The only recent change to the deployment is that the company added a large amount of critical content to the S3 bucket.

What should a solutions architect do so that the production environment can deploy successfully?

Increase the size of the EC2 instances.

Increase the health check timeout for the ALB.

Change the health check path for the ALB.

Increase the health check grace period for the Auto Scaling group.

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Question # 118

A car rental company has built a serverless REST API to provide data to its mobile app. The app consists of an Amazon API Gateway API with a Regional endpoint, AWS Lambda functions, and an Amazon Aurora MySQL Serverless DB cluster. The company recently opened the API to mobile apps of partners. A significant increase in the number of requests resulted, causing sporadic database memory errors. Analysis of the API traffic indicates that clients are making multiple HTTP GET requests for the same queries in a short period of time. Traffic is concentrated during business hours, with spikes around holidays and other events.

The company needs to improve its ability to support the additional usage while minimizing the increase in costs associated with the solution.

Which strategy meets these requirements?

Convert the API Gateway Regional endpoint to an edge-optimized endpoint. Enable caching in the production stage.

Implement an Amazon ElastiCache for Redis cache to store the results of the database calls. Modify the Lambda functions to use the cache.

Modify the Aurora Serverless DB cluster configuration to increase the maximum amount of available memory.

Enable throttling in the API Gateway production stage. Set the rate and burst values to limit the incoming calls.

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Question # 119

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?

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.

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.

Delete the existing ALB and the EC2 instances. Create an Auto Scaling group that is configuredto 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.

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.

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Question # 120

A company needs to gather data from an experiment in a remote location that does not have internet connectivity. During the experiment, sensors that are connected to a total network will generate 6 TB of data in a preprimary formal over the course of 1 week. The sensors can be configured to upload their data files to an FTP server periodically, but the sensors do not have their own FTP server. The sensors also do not support other protocols. The company needs to collect the data centrally and move lie data to object storage in the AWS Cloud as soon. as possible after the experiment.

Which solution will meet these requirements?

Order an AWS Snowball Edge Compute Optimized device. Connect the device to the local network. Configure AWS DataSync with a target bucket name, and unload the data over NFS to the device. After the experiment return the device to AWS so that the data can be loaded into Amazon S3.

Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Create a shell script that periodically downloads data from each sensor. After the experiment, return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store [Amazon EBS) volume.

Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Install and configure an FTP server on the EC2 instance. Configure the sensors to upload data to the EC2 instance. After the experiment, return the device to AWS so that the data can be loaded into Amazon S3.

Order an AWS Snowcone device. Connect the device to the local network. Configure the device to use Amazon FSx. Configure the sensors to upload data to the device. Configure AWS DataSync on the device to synchronize the uploaded data with an Amazon S3 bucket Return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store (Amazon EBS) volume.

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