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HOT Valid SAP-C02 Test Online - The Best Amazon AWS Certified Solutions Architect - Professional (SAP-C02) - Hottest SAP-C02 Certification

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The SAP-C02 exam is designed to test candidates on a range of topics related to AWS architecture and design principles. This includes topics such as designing and deploying highly available, scalable, and fault-tolerant systems, selecting appropriate AWS services to meet specific requirements, and migrating complex, multi-tier applications to AWS. Candidates will also be tested on their ability to design and implement security controls, automate deployments, and optimize the performance of AWS services.

The SAP-C02 Exam measures candidates' ability to design and deploy highly available, scalable, and fault-tolerant systems on AWS. It covers a wide range of topics, including advanced networking, database technologies, security, cost optimization, and migration strategies. SAP-C02 exam consists of multiple-choice and multiple-response questions, and candidates are given 180 minutes to complete it.

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q43-Q48):

NEW QUESTION # 43
A company is migrating an on-premises application and a MySQL database to AWS. The application processes highly sensitive data, and new data is constantly updated in the database. The data must not be transferred over the internet. The company also must encrypt the data in transit and at rest.
The database is 5 TB in size. The company already has created the database schema in an Amazon RDS for MySQL DB instance. The company has set up a 1 Gbps AWS Direct Connect connection to AWS. The company also has set up a public VIF and a private VIF. A solutions architect needs to design a solution that will migrate the data to AWS with the least possible downtime
Which solution will meet these requirements?

A. Perform a database backup. Use AWS DataSync to transfer the backup files to Amazon S3 Use server-side encryption with Amazon S3 managed encryption keys (SSE-S3) for encryption at rest. Use TLS for encryption in transit Import the data from Amazon S3 to the DB instance.
B. Perform a database backup. Copy the backup files to an AWS Snowball Edge Storage Optimized device. Import the backup to Amazon S3. Use server-side encryption with Amazon S3 managed encryption keys (SSE-S3) for encryption at rest Use TLS for encryption in transit Import the data from Amazon S3 to the DB instance.
C. Use Amazon S3 File Gateway Set up a private connection to Amazon S3 by using AWS PrivateLink. Perform a database backup. Copy the backup files to Amazon S3. Use server-side encryption with Amazon S3 managed encryption keys (SSE-S3) for encryption at rest. Use TLS for encryption in transit. Import the data from Amazon S3 to the DB instance.
D. Use AWS Database Migration Service (AWS DMS) to migrate the data to AWS. Create a DMS replication instance in a private subnet. Create VPC endpoints for AWS DMS. Configure a DMS task to copy data from the on-premises database to the DB instance by using full load plus change data capture (CDC). Use the AWS Key Management Service (AWS KMS) default key for encryption at rest. Use TLS for encryption in transit.

Answer: C

NEW QUESTION # 44
A VPC spans three Availability Zones, each with public and private subnets. One NAT gateway and one internet gateway exist. Private EC2 instances must connect to the internet.

A. Add internet gateways per AZ and configure public subnets.
B. Add two more NAT gateways and configure public subnets.
C. Add two more NAT gateways (one per AZ). Configure each private subnet to use its AZ's NAT gateway.
D. Add internet gateways per AZ and route private subnets.

Answer: C

Explanation:
Comprehensive and Detailed Explanation:
To improveresiliency and fault tolerance, place aNAT Gateway in each AZ, and route each private subnet to its local NAT gateway. This ensures local AZ failure won't break internet access.
#VPC NAT Gateway High Availability

NEW QUESTION # 45
A company is hosting a monolithic REST-based API for a mobile app on five Amazon EC2 instances in public subnets of a VPC. Mobile clients connect to the API by using a domain name that is hosted on Amazon Route 53. The company has created a Route 53 multivalue answer routing policy with the IP addresses of all the EC2 instances. Recently, the app has been overwhelmed by large and sudden increases to traffic. The app has not been able to keep up with the traffic.
A solutions architect needs to implement a solution so that the app can handle the new and varying load.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Auto Scaling group. Place all the EC2 instances in the Auto Scaling group. Configure the Auto Scaling group to perform scaling actions that are based on CPU utilization. Create an AWS Lambda function that reacts to Auto Scaling group changes and updates the Route 53 record.
B. Create an Application Load Balancer (ALB) in front of the API. Move the EC2 instances to private subnets in the VPC. Add the EC2 instances as targets for the ALB. Update the Route 53 record to point to the ALB.
C. Containerize the API logic. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Run the containers in the cluster by using Amazon EC2. Create a Kubernetes ingress. Update the Route 53 record to point to the Kubernetes ingress.
D. Separate the API into individual AWS Lambda functions. Configure an Amazon API Gateway REST API with Lambda integration for the backend. Update the Route 53 record to point to the API Gateway API.

Answer: D

Explanation:
By breaking down the monolithic API into individual Lambda functions and using API Gateway to handle the incoming requests, the solution can automatically scale to handle the new and varying load without the need for manual scaling actions. Additionally, this option will automatically handle the traffic without the need of having EC2 instances running all the time and only pay for the number of requests and the duration of the execution of the Lambda function.
By updating the Route 53 record to point to the API Gateway, the solution can handle the traffic and also it will direct the traffic to the correct endpoint.

NEW QUESTION # 46
A company runs many workloads on AWS and uses AWS Organizations to manage its accounts.
The workloads are hosted on Amazon EC2. AWS Fargate. and AWS Lambda. Some of the workloads have unpredictable demand. Accounts record high usage in some months and low usage in other months.
The company wants to optimize its compute costs over the next 3 years. A solutions architect obtains a 6-month average for each of the accounts across the organization to calculate usage.
Which solution will provide the MOST cost savings for all the organization's compute usage?

A. Purchase an EC2 Instance Savings Plan for each member account from the management account based on EC2 usage data from the last 6 months.
B. Purchase a Compute Savings Plan for the organization from the management account by using the recommendation at the management account level.
C. Purchase Reserved Instances for each member account that had high EC2 usage according to the data from the last 6 months.
D. Purchase Reserved Instances for the organization to match the size and number of the most common EC2 instances from the member accounts.

Answer: B

Explanation:
Compute savings plan supports EC2, Fargate and Lambda. Applied in Organization's management account.

NEW QUESTION # 47
A company runs an application on AWS. The company curates data from several different sources. The company uses proprietary algorithms to perform data transformations and aggregations. After the company performs E TL processes, the company stores the results in Amazon Redshift tables. The company sells this data to other companies. The company downloads the data as files from the Amazon Redshift tables and transmits the files to several data customers by using FTP. The number of data customers has grown significantly. Management of the data customers has become difficult.
The company will use AWS Data Exchange to create a data product that the company can use to share data with customers. The company wants to confirm the identities of the customers before the company shares data. The customers also need access to the most recent data when the company publishes the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Download the data from the Amazon Redshift tables to an Amazon S3 bucket periodically. Use AWS Data Exchange for S3 to share data with customers. Configure subscription verification. Require the data customers to subscribe to the data product.
B. Use AWS Data Exchange for APIs to share data with customers. Configure subscription verification. In the AWS account of the company that produces the data, create an Amazon API Gateway Data API service integration with Amazon Redshift. Require the data customers to subscribe to the data product.
C. In the AWS account of the company that produces the data, create an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift cluster. Configure subscription verification. Require the data customers to subscribe to the data product.
D. Publish the Amazon Redshift data to an Open Data on AWS Data Exchange. Require the customers to subscribe to the data product in AWS Data Exchange. In the AWS account of the company that produces the data, attach 1AM resource-based policies to the Amazon Redshift tables to allow access only to verified AWS accounts.

Answer: A

Explanation:
The company should download the data from the Amazon Redshift tables to an Amazon S3 bucket periodically and use AWS Data Exchange for S3 to share data with customers. The company should configure subscription verification and require the data customers to subscribe to the data product. This solution will meet the requirements with the least operational overhead because AWS Data Exchange for S3 is a feature that enables data subscribers to access third-party data files directly from data providers' Amazon S3 buckets.
Subscribers can easily use these files for their data analysis with AWS services without needing to create or manage data copies. Data providers can easily set up AWS Data Exchange for S3 on top of their existing S3 buckets to share direct access to an entire S3 bucket or specific prefixes and S3 objects. AWS Data Exchange automatically manages subscriptions, entitlements, billing, and payment1.
The other options are not correct because:
* Using AWS Data Exchange for APIs to share data with customers would not work because AWS Data Exchange for APIs is a feature that enables data subscribers to access third-party APIs directly from data providers' AWS accounts. Subscribers can easily use these APIs for their data analysis with AWS services without needing to manage API keys or tokens. Data providers can easily set up AWS Data Exchange for APIs on top of their existing API Gateway resources to share direct access to an entire API or specific routes and stages2. However, this feature is not suitable for sharing data from Amazon Redshift tables, which are not exposed as APIs.
* Creating an Amazon API Gateway Data API service integration with Amazon Redshift would not work because the Data API is a feature that enables you to query your Amazon Redshift cluster using HTTP requests, without needing a persistent connection or a SQL client3. It is useful for building applications that interact with Amazon Redshift, but not for sharing data files with customers.
* Creating an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift cluster would not work because AWS Data Exchange does not support datashares for Amazon Redshift clusters. A datashare is a feature that enables you to share live and secure access to your Amazon Redshift data across your accounts or with third parties without copying or moving the underlying data4
. It is useful for sharing query results and views with other users, but not for sharing data files with customers.
* Publishing the Amazon Redshift data to an Open Data on AWS Data Exchange would not work because Open Data on AWS Data Exchange is a feature that enables you to find and use free and public datasets from AWS customers and partners. It is useful for accessing open and free data, but not for confirming the identities of the customers or charging them for the data.
References:
* https://aws.amazon.com/data-exchange/why-aws-data-exchange/s3/
* https://aws.amazon.com/data-exchange/why-aws-data-exchange/api/
* https://docs.aws.amazon.com/redshift/latest/mgmt/data-api.html
* https://docs.aws.amazon.com/redshift/latest/dg/datashare-overview.html
* https://aws.amazon.com/data-exchange/open-data/

NEW QUESTION # 48
......

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