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

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Question # 49

A company is migrating a legacy application from an on-premises data center to AWS. The application consists of a single application server and a Microsoft SQL

Server database server. Each server is deployed on a VMware VM that consumes 500 TB of data across multiple attached volumes.

The company has established a 10 Gbps AWS Direct Connect connection from the closest AWS Region to its on-premises data center. The Direct Connect connection is not currently in use by other services.

Which combination of steps should a solutions architect take to migrate the application with the LEAST amount of downtime? (Choose two.)

Use an AWS Server Migration Service (AWS SMS) replication job to migrate the database server VM to AWS.

Use VM Import/Export to import the application server VM.

Export the VM images to an AWS Snowball Edge Storage Optimized device.

Use an AWS Server Migration Service (AWS SMS) replication job to migrate the application server VM to AWS.

Use an AWS Database Migration Service (AWS DMS) replication instance to migrate the database to an Amazon RDS DB instance.

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Question # 50

A company is collecting a large amount of data from a fleet of loT devices Data is stored as Optimized Row Columnar (ORC) files in the Hadoop Distributed File System (HDFS) on a persistent Amazon EMR cluster. The company's data analytics team queries the data by using SQL in Apache Presto deployed on the same EMR cluster Queries scan large amounts of data, always run for less than 15 minutes, and run only between 5 PM and 10 PM.

The company is concerned about the high cost associated with the current solution A solutions architect must propose the most cost-effective solution that will allow SQL data queries

Which solution will meet these requirements?

Store data in Amazon S3 Use Amazon Redshift Spectrum to query data.

Store data in Amazon S3 Use the AWS Glue Data Catalog and Amazon Athena to query data

Store data in EMR File System (EMRFS) Use Presto in Amazon EMR to query data

Store data in Amazon Redshift. Use Amazon Redshift to query data.

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Question # 51

An e-commerce company is revamping its IT infrastructure and is planning to use AWS services. The company's CIO has asked a solutions architect to design a simple, highly available, and loosely coupled order processing application. The application is responsible for receiving and processing orders before storing them in an Amazon DynamoDB table. The application has a sporadic traffic pattern and should be able to scale during marketing campaigns to process the orders with minimal delays.

Which of the following is the MOST reliable approach to meet the requirements?

Receive the orders in an Amazon EC2-hosted database and use EC2 instances to process them.

Receive the orders in an Amazon SQS queue and invoke an AWS Lambda function to process them.

Receive the orders using the AWS Step Functions program and launch an Amazon ECS container to process them.

Receive the orders in Amazon Kinesis Data Streams and use Amazon EC2 instances to process them.

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Answer:

Explanation:

The best option is to use Amazon SQS and AWS Lambda to create a serverless order processing application. Amazon SQS is a fully managed message queue service that can decouple the order receiving and processing components, making the application more scalable and fault-tolerant. AWS Lambda is a serverless compute service that can automatically scale to handle the incoming messages from the SQS queue and process them according to the business logic. AWS Lambda can also integrate with Amazon DynamoDB to store the processed orders in a fast and flexible NoSQL database. This approach eliminates the need to provision, manage, or scale any servers or containers, and reduces the operational overhead and cost.

Option A is not reliable because using an EC2-hosted database to receive the orders introduces a single point of failure and a scalability bottleneck. EC2 instances also require more management and configuration than serverless services.

Option C is not reliable because using AWS Step Functions to receive the orders adds unnecessary complexity and cost to the application. AWS Step Functions is a service that coordinates multiple AWS services into a serverless workflow, but it is not designed to handle high-volume, sporadic, or unpredictable traffic patterns. AWS Step Functions also charges per state transition, which can be expensive for a large number of orders. Launching an ECS container to process each order also requires more resources and management than invoking a Lambda function.

Option D is not reliable because using Amazon Kinesis Data Streams to receive the orders is not suitable for this use case. Amazon Kinesis Data Streams is a service that enables real-time processing of streaming data at scale, but it is not meant for asynchronous message queuing. Amazon Kinesis Data Streams requires consumers to poll the data from the stream, which can introduce latency and complexity. Amazon Kinesis Data Streams also charges per shard hour, which can be expensive for a sporadic traffic pattern.

References:

Amazon SQS

AWS Lambda

Amazon DynamoDB

AWS Step Functions

Amazon ECS

Question # 52

A company provides auction services for artwork and has users across North America and Europe. The company hosts its application in Amazon EC2 instances in the us-east-1 Region. Artists upload photos of their work as large-size, high-resolution image files from their mobile phones to a centralized Amazon S3 bucket created in the us-east-l Region. The users in Europe are reporting slow performance for their Image uploads.

How can a solutions architect improve the performance of the image upload process?

Redeploy the application to use S3 multipart uploads.

Create an Amazon CloudFront distribution and point to the application as a custom origin

Configure the buckets to use S3 Transfer Acceleration.

Create an Auto Scaling group for the EC2 instances and create a scaling policy.

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Question # 53

A company has millions of objects in an Amazon S3 bucket. The objects are in the S3 Standard storage class. All the S3 objects are accessed frequently. The number of users and applications that access the objects is increasing rapidly. The objects are encrypted with server-side encryption with AWS KMS Keys (SSE-KMS).

A solutions architect reviews the company's monthly AWS invoice and notices that AWS KMS costs are increasing because of the high number of requests from Amazon S3. The solutions architect needs to optimize costs with minimal changes to the application.

Which solution will meet these requirements with the LEAST operational overhead?

Create a new S3 bucket that has server-side encryption with customer-provided keys (SSE-C) as the encryption type. Copy the existing objects to the new S3 bucket. Specify SSE-C.

Create a new S3 bucket that has server-side encryption with Amazon S3 managed keys (SSE-S3) as the encryption type. Use S3 Batch Operations to copy the existing objects to the new S3 bucket. Specify SSE-S3.

Use AWS CloudHSM to store the encryption keys. Create a new S3 bucket. Use S3 Batch Operations to copy the existing objects to the new S3 bucket. Encrypt the objects by using the keys from CloudHSM.

Use the S3 Intelligent-Tiering storage class for the S3 bucket. Create an S3 Intelligent-Tiering archive configuration to transition objects that are not accessed for 90 days to S3 Glacier Deep Archive.

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Question # 54

A company has several AWS accounts. A development team is building an automation framework for cloud governance and remediation processes. The automation framework uses AWS Lambda functions in a centralized account. A solutions architect must implement a least privilege permissions policy that allows the Lambda functions to run in each of the company's AWS accounts.

Which combination of steps will meet these requirements? (Choose two.)

In the centralized account, create an IAM role that has the Lambda service as a trusted entity. Add an inline policy to assume the roles of the other AWS accounts.

In the other AWS accounts, create an IAM role that has minimal permissions. Add the centralized account's Lambda IAM role as a trusted entity.

In the centralized account, create an IAM role that has roles of the other accounts as trusted entities. Provide minimal permissions.

In the other AWS accounts, create an IAM role that has permissions to assume the role of the centralized account. Add the Lambda service as a trusted entity.

In the other AWS accounts, create an IAM role that has minimal permissions. Add the Lambda service as a trusted entity.

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Question # 55

A company has a new application that needs to run on five Amazon EC2 instances in a single AWS Region. The application requires high-through put. low-latency network connections between all to the EC2 instances where the application will run. There is no requirement for the application to be fault tolerant.

Which solution will meet these requirements?

Launch five new EC2 instances into a cluster placement group. Ensure that the EC2 instance type supports enhanced networking.

Launch five new EC2 instances into an Auto Scaling group in the same Availability Zone. Attach an extra elastic network interface to each EC2 instance.

Launch five new EC2 instances into a partition placement group. Ensure that the EC2 instance type supports enhanced networking.

Launch five new EC2 instances into a spread placement group Attach an extra elastic network interface to each EC2 instance.

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Question # 56

A company has an application in the AWS Cloud. The application runs on a fleet of 20 Amazon EC2 instances. The EC2 instances are persistent and store data on multiple attached Amazon Elastic Block Store (Amazon EBS) volumes.

The company must maintain backups in a separate AWS Region. The company must be able to recover the EC2 instances and their configuration within I business day, with loss of no more than I day's worth of data. The company has limited staff and needs a backup solution that optimizes operational efficiency and cost. The company already has created an AWS CloudFormation template that can deploy the required network configuration in a secondary Region.

Which solution will meet these requirements?

Create a second CloudFormation template that can recreate the EC2 instances in the secondary Region. Run daily multivolume snapshots by using AWS Systems Manager Automation runbooks. Copy the snapshots to the secondary Region. In the event of a failure, launch the CloudFormation templates, restore the EBS volumes from snapshots, and transfer usage to the secondary Region.

Use Amazon Data Lifecycle Manager (Amazon DLM) to create daily multivolume snapshots of the EBS volumes. In the event of a failure, launch the

CloudFormation template and use Amazon DLM to restore the EBS volumes and transfer usage to the secondary Region.

Use AWS Backup to create a scheduled daily backup plan for the EC2 instances. Configure the backup task to copy the backups to a vault in the secondary Region. In the event of a failure, launch the CloudFormation template, restore the instance volumes and configurations from the backup vault, and transfer usage to the secondary Region.

Deploy EC2 instances of the same size and configuration to the secondary Region. Configure AWS DataSync daily to copy data from the primary Region to the secondary Region. In the event of a failure, launch the CloudFormation template and transfer usage to the secondary Region.

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