SAP-C02 Examinations Actual Questions | Reliable SAP-C02 Test Materials
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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q384-Q389):
NEW QUESTION # 384
A company has an application that uses an on-premises Oracle database. The company is migrating the database to the AWS Cloud. The database contains customer data and stored procedures.
The company needs to migrate the database as quickly as possible with minimum downtime. The solution on AWS must provide high availability and must use managed services for the database.
Which solution will meet these requirements?
- A. Use AWS DMS to replicate data from the on-premises Oracle database to a new Amazon DynamoDB table. Use DynamoDB Accelerator (DAX) and implement global tables for high availability. Rewrite the stored procedures in AWS Lambda. Run the stored procedures in DAX. After replication, redirect the application to the DAX cluster endpoint.
- B. Create a database backup of the on-premises Oracle database. Upload the backup to an Amazon S3 bucket. Shut down the on-premises Oracle database to avoid any new transactions. Restore the backup to a new Oracle cluster that consists of Amazon EC2 instances across two Availability Zones. Redirect the application to the EC2 instances.
- C. Use AWS DMS to replicate data from the on-premises Oracle database to a new Amazon Aurora PostgreSQL database. Use AWS SCT to convert the schema and stored procedures. Redirect the application to the Aurora DB cluster.
- D. Use AWS DMS to replicate data from the on-premises Oracle database to a new Amazon RDS for Oracle database. Transfer the database files to an Amazon S3 bucket. Configure the RDS database to use the S3 bucket as database storage. Set up S3 replication for high availability. Redirect the application to the RDS DB instance.
Answer: C
Explanation:
Using AWS Database Migration Service (DMS) with an Amazon Aurora PostgreSQL target and the AWS Schema Conversion Tool (SCT) ensures a rapid migration with minimal downtime.
* DMS continuously replicates data, supporting near-zero downtime migration while keeping the source and target in sync.
* SCT automatically converts the Oracle schema and stored procedures to PostgreSQL-compatible format, minimizing manual effort.
* Aurora provides a managed, highly available database that scales across multiple AZs, ensuring high availability for the migrated workload.This method leverages AWS-managed services for database and migration, ensuring a secure, reliable, and low-overhead transition to the cloud.
NEW QUESTION # 385
A company is planning a one-time migration of an on-premises MySQL database to Amazon Aurora MySQL in the us-east-1 Region. The company's current internet connection has limited bandwidth. The on-premises MySQL database is 60 TB in size The company estimates that it will take a month to transfer the data to AWS over the current internet connection.
The company needs a migration solution that will migrate the database more quickly Which solution will migrate the database in the LEAST amount of time?
- A. Request a 1 Gbps AWS Direct Connect connection between the on-premises data center and AWS Use AWS Database Migration Service (AWS DMS) to migrate the on-premises MySQL database to Aurora MySQL.
- B. Order an AWS Snowball Edge Device Load the data into an Amazon S3 bucket by using the S3 interface Use AWS Database Migration Service (AWS DMS) to migrate the data from Amazon S3 to Aurora MySQL
- C. Use AWS DataSync with the current internet connection to accelerate the data transfer between the on-premises data center and AWS Use AWS Application Migration Service to migrate the on-premises MySQL database to Aurora MySQL.
- D. Order an AWS Snowball Device Load the data into an Amazon S3 bucket by using the S3 Adapter for Snowball Use AWS Application Migration Service to migrate the data from Amazon S3 to Aurora MySQL.
Answer: B
NEW QUESTION # 386
A company's solutions architect needs to provide secure Remote Desktop connectivity to users for Amazon EC2 Windows instances that are hosted in a VPC. The solution must integrate centralized user management with the company's on-premises Active Directory. Connectivity to the VPC is through the internet. The company has hardware that can be used to establish an AWS Site-to-Site VPN connection.
Which solution will meet these requirements MOST cost-effectively?
- A. Configure AWS IAM Identity Center (AWS Single Sign-On) to integrate with the on-premises Active Directory by using the AWS Directory Service for Microsoft Active Directory AD Connector.
Configure permission sets against user groups for access to AWS Systems Manager. Use Systems Manager Fleet Manager to access the target instances through RDP. - B. Deploy a managed Active Directory by using AWS Directory Service for Microsoft Active Directory. Establish a trust with the on-premises Active Directory. Deploy a Remote Desktop Gateway on AWS by using an AWS Quick Start. Ensure that the Remote Desktop Gateway is joined to the domain. Use the Remote Desktop Gateway to access the target instances through RDP.
- C. Deploy a managed Active Directory by using AWS Directory Service for Microsoft Active Directory. Establish a trust with the on-premises Active Directory. Deploy an EC2 instance as a bastion host in the VPC. Ensure that the EC2 instance is joined to the domain. Use the bastion host to access the target instances through RDP.
- D. Implement a VPN between the on-premises environment and the target VPEnsure that the target instances are joined to the on-premises Active Directory domain over the VPN connection.
Configure RDP access through the VPN. Connect from the company's network to the target instances.
Answer: A
Explanation:
https://aws.amazon.com/blogs/security/how-to-connect-your-on-premises-active-directory-to-aws- using-ad-connector/
NEW QUESTION # 387
A company manufactures smart vehicles. The company uses a custom application to collect vehicle data. The vehicles use the MQTT protocol to connect to the application.
The company processes the data in 5-minute intervals. The company then copies vehicle telematics data to on-premises storage. Custom applications analyze this data to detect anomalies.
The number of vehicles that send data grows constantly. Newer vehicles generate high volumes of data. The on-premises storage solution is not able to scale for peak traffic, which results in data loss. The company must modernize the solution and migrate the solution to AWS to resolve the scaling challenges.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use Amazon MQ for RabbitMQ to collect the vehicle data. Send the data to an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Use Amazon Lookout for Metrics to detect anomalies.
- B. Use AWS IOT FleetWise to collect the vehicle data. Send the data to an Amazon Kinesis data stream.
Use an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Use the built-in machine learning transforms in AWS Glue to detect anomalies. - C. Use AWS IOT Greengrass to send the vehicle data to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Create an Apache Kafka application to store the data in Amazon S3. Use a pretrained model in Amazon SageMaker to detect anomalies.
- D. Use AWS IOT Core to receive the vehicle data. Configure rules to route data to an Amazon Kinesis Data Firehose delivery stream that stores the data in Amazon S3. Create an Amazon Kinesis Data Analytics application that reads from the delivery stream to detect anomalies.
Answer: D
Explanation:
Using AWS IoT Core to receive the vehicle data will enable connecting the smart vehicles to the cloud using the MQTT protocol1. AWS IoT Core is a platform that enables you to connect devices to AWS Services and other devices, secure data and interactions, process and act upon device data, and enable applications to interact with devices even when they are offline2. Configuring rules to route data to an Amazon Kinesis Data Firehose delivery stream that stores the data in Amazon S3 will enable processing and storing the vehicle data in a scalable and reliable way3. Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon S3. Creating an Amazon Kinesis Data Analytics application that reads from the delivery stream to detect anomalies will enable analyzing the vehicle data using SQL queries or Apache Flink applications. Amazon Kinesis Data Analytics is a fully managed service that enables you to process and analyze streaming data using SQL or Java.
NEW QUESTION # 388
A company is planning to migrate an application to AWS. The application runs as a Docker container and uses an NFS version 4 file share.
A solutions architect must design a secure and scalable containerized solution that does not require provisioning or management of the underlying infrastructure.
Which solution will meet these requirements?
- A. Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type. Use Amazon FSx for Lustre for shared storage. Reference the FSx for Lustre file system ID, container mount point, and FSx for Lustre authorization IAM role in the ECS task definition.
- B. Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type and auto scaling turned on. Use Amazon Elastic Block Store (Amazon EBS) volumes with Multi-Attach enabled for shared storage. Attach the EBS volumes to ECS container instances. Add the EBS authorization IAM role to an EC2 instance profile.
- C. Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type and auto scaling turned on. Use Amazon Elastic File System (Amazon EFS) for shared storage. Mount the EFS file system on the ECS container instances. Add the EFS authorization IAM role to the EC2 instance profile.
- D. Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type. Use Amazon Elastic File System (Amazon EFS) for shared storage. Reference the EFS file system ID, container mount point, and EFS authorization IAM role in the ECS task definition.
Answer: D
Explanation:
This option uses Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type to deploy the application containers. Amazon ECS is a fully managed container orchestration service that allows running Docker containers on AWS at scale. Fargate is a serverless compute engine for containers that eliminates the need to provision or manage servers or clusters. With Fargate, the company only pays for the resources required to run its containers, which reduces costs and operational overhead. This option also uses Amazon Elastic File System (Amazon EFS) for shared storage. Amazon EFS is a fully managed file system that provides scalable, elastic, concurrent, and secure file storage for use with AWS cloud services. Amazon EFS supports NFS version 4 protocol, which is compatible with the application's requirements. To use Amazon EFS with Fargate containers, the company needs to reference the EFS file system ID, container mount point, and EFS authorization IAM role in the ECS task definition.
NEW QUESTION # 389
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