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NEW QUESTION 23
A company has a 24 TB MySQL database in its on-premises data center that grows at the rate of 10 GB per day. The data center is connected to the company's AWS infrastructure with a 50 Mbps VPN connection.
The company is migrating the application and workload to AWS. The application code is already installed and tested on Amazon EC2. The company now needs to migrate the database and wants to go live on AWS within 3 weeks.
Which of the following approaches meets the schedule with LEAST downtime?
- A. 1. Create a database export locally using database-native tools.2. Import that into AWS using AWS Snowball.3. Launch an Amazon RDS Aurora DB instance.4. Load the data in the RDS Aurora DB instance from the export.5. Set up database replication from the on-premises database to the RDS Aurora DB instance over the VPN.6. Change the DNS entry to point to the RDS Aurora DB instance.7. Stop the replication.
- B. 1. Launch an AWS DMS instance.2. Launch an Amazon RDS Aurora MySQL DB instance.3. Configure the AWS DMS instance with on-premises and Amazon RDS database information.4. Start the replication task within AWS DMS over the VPN.5. Change the DNS entry to point to the Amazon RDS MySQL database.6. Stop the replication.
- C. 1. Take the on-premises application offline.2. Create a database export locally using database-native tools.3. Import that into AWS using AWS Snowball.4. Launch an Amazon RDS Aurora DB instance.5. Load the data in the RDS Aurora DB instance from the export.6. Change the DNS entry to point to the Amazon RDS Aurora DB instance.7. Put the Amazon EC2 hosted application online.
- D. 1. Use the VM Import/Export service to import a snapshot on the on-premises database into AWS.2. Launch a new EC2 instance from the snapshot.3. Set up ongoing database replication from on premises to the EC2 database over the VPN.4. Change the DNS entry to point to the EC2 database.5. Stop the replication.
Answer: A
NEW QUESTION 24
A Solutions Architect is designing a network solution for a company that has applications running in a data center in Northern Virginia. The applications in the company's data center require predictable performance to applications running in a virtual private cloud (VPC) located in us-east-1, and a secondary VPC in us-west-2 within the same account. The company data center is collocated in an AWS Direct Connect facility that serves the us-est-1 region. The company has already ordered an AWS Direct Connect connection and a cross-connect has been established.
Which solution will meet the requirements at the LOWEST cost?
- A. Create private VIFs on the Direct Connect connection for each of the company's VPCs in the us-est-1 and us-west-2 regions. Configure the company's data center router to connect directly with the VPCs in those regions via the private VIFs.
- B. Order a second Direct Connect connection to a Direct Connect facility with connectivity to the us-west-2 region. Work with partner to establish a network extension link over dark fiber from the Direct Connect facility to the company's data center. Establish private VIFs on the Direct Connect connections for each of the company's VPCs in the respective regions. Configure the company's data center router to connect directly with the VPCs in those regions via the private VIFs.
- C. Deploy a transit VPC solution using Amazon EC2-based router instances in the us-east-1 region. Establish IPsec VPN tunnels between the transit routers and virtual private gateways (VGWs) located in the us-east-1 and us-west-2 regions, which are attached to the company's VPCs in those regions. Create a public VIF on the Direct Connect connection and establish IPsec VPN tunnels over the public VIF between the transit routers and the company's data center router.
- D. Provision a Direct Connect gateway and attach the virtual private (VGW) for the VPC in us-east-1 and the VGW for the VPC in us-west-2. Create a private VIF on the Direct Connect connection and associate it to the Direct Connect gateway.
Answer: D
Explanation:
https://aws.amazon.com/blogs/aws/new-aws-direct-connect-gateway-inter-region-vpc-access/
https://docs.aws.amazon.com/directconnect/latest/UserGuide/direct-connect-gateways-intro.html
NEW QUESTION 25
A solution architect is migrating an existing workload to AWS Fargate. The task can only run in a private subnet within the VPC where there is no direct connectivity from outside the system to the application. When the Fargate task is launched, the task fails with the following error:
How should the solution architect correct this error?
- A. Ensure the network mode is set to bridge in the Fargate task definition.
- B. Ensure the task is set to ENABLED for the auto-assign public IP selling when launching the task.
- C. Ensure the task is set to DISABLED for the auto-assign public IP setting when launching the task. Configure a NAT gateway in the public subnet in the VPC to route requests to the internet
- D. Ensure the task Is set to DISABLED for the auto-assign public IP setting when launching the task. Configure a NAT gateway in the private subnet in the VPC to route requests to the internet
Answer: D
NEW QUESTION 26
A company is running a commercial Apache Hadoop cluster on Amazon EC2. This cluster is being used daily to query large files on Amazon S3. The data on Amazon S3 has been curated and does not require any additional transformations steps. The company is using a commercial business intelligence (BI) tool on Amazon EC2 to run queries against the Hadoop cluster and visualize the data.
The company wants to reduce or eliminate the overhead costs associated with managing the Hadoop cluster and the BI tool. The company would like to remove to a more cost-effective solution with minimal effort. The visualization is simple and requires performing some basic aggregation steps only.
Which option will meet the company's requirements?
- A. Develop a script that uses Amazon Athena to query and analyze the files on Amazon S3. Then use Amazon QuickSight to connect to Athena and perform the visualization.
- B. Launch a transient Amazon EMR cluster daily and develop an Apache Hive script to analyze the files on Amazon S3. Shut down the Amazon EMR cluster when the job is complete. The use the Amazon QuickSight to connect to Amazon EMR and perform the visualization.
- C. Develop a stored procedure invoked from a MySQL database running on Amazon EC2 to analyze EC2 to analyze the files in Amazon S3. Then use a fast in-memory BL tool running on Amazon EC2 to visualize the data.
- D. Use a commercial extract, transform, load (ETL) tool that runs on Amazon EC2 to prepare the data for processing. Then switch to a faster and cheaper Bl tool that runs on Amazon EC2 to visualize the data from Amazon S3.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html
https://aws.amazon.com/athena/
NEW QUESTION 27
......
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