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NEW QUESTION 41
You would like to create a mirror image of your production environment in another region for disaster recovery purposes.
Which of the following AWS resources do not need to be recreated in the second region? (Choose 2 answers)
- A. EC2 Key Pairs
- B. Elastic IP Addresses (EIP)
- C. Security Groups
- D. Launch configurations
- E. IAM Roles
- F. Route S3 Record Sets
Answer: E,F
Explanation:
Explanation
As per the document defined, new IPs should be reserved not the same ones Elastic IP Addresses are static IP addresses designed for dynamic cloud computing. Unlike traditional static IP addresses, however, Elastic IP addresses enable you to mask instance or Availability Zone failures by programmatically remapping your public IP addresses to instances in your account in a particular region. For DR, you can also pre-allocate some IP addresses for the most critical systems so that their IP addresses are already known before disaster strikes. This can simplify the execution of the DR plan.
References:
NEW QUESTION 42
A solutions architect is implementing a document review application using an Amazon S3 bucket for storage. The solution must prevent an accidental deletion of the documents and ensure that all versions of the documents are available. Users must be able to download, modify, and upload documents.
Which combination of actions should be taken to meet these requirements? (Choose two.)
- A. Enable a read-only bucket ACL.
- B. Attach an IAM policy to the bucket.
- C. Enable MFA Delete on the bucket.
- D. Encrypt the bucket using AWS KMS.
- E. Enable versioning on the bucket.
Answer: C,E
Explanation:
Object Versioning
Use Amazon S3 Versioning to keep multiple versions of an object in one bucket. For example, you could store my-image.jpg (version 111111) and my-image.jpg (version 222222) in a single bucket. S3 Versioning protects you from the consequences of unintended overwrites and deletions. You can also use it to archive objects so that you have access to previous versions.
To customize your data retention approach and control storage costs, use object versioning with Object lifecycle management. For information about creating S3 Lifecycle policies using the AWS Management Console, see How Do I Create a Lifecycle Policy for an S3 Bucket? in the Amazon Simple Storage Service Console User Guide.
If you have an object expiration lifecycle policy in your non-versioned bucket and you want to maintain the same permanent delete behavior when you enable versioning, you must add a noncurrent expiration policy.
The noncurrent expiration lifecycle policy will manage the deletes of the noncurrent object versions in the version-enabled bucket. (A version-enabled bucket maintains one current and zero or more noncurrent object versions.) You must explicitly enable S3 Versioning on your bucket. By default, S3 Versioning is disabled. Regardless of whether you have enabled Versioning, each object in your bucket has a version ID. If you have not enabled Versioning, Amazon S3 sets the value of the version ID to null. If S3 Versioning is enabled, Amazon S3 assigns a version ID value for the object. This value distinguishes it from other versions of the same key.
Enabling and suspending versioning is done at the bucket level. When you enable versioning on an existing bucket, objects that are already stored in the bucket are unchanged. The version IDs (null), contents, and permissions remain the same. After you enable S3 Versioning for a bucket, each object that is added to the bucket gets a version ID, which distinguishes it from other versions of the same key.
Only Amazon S3 generates version IDs, and they can’t be edited. Version IDs are Unicode, UTF-8 encoded, URL-ready, opaque strings that are no more than 1,024 bytes long. The following is an example:
3/L4kqtJlcpXroDTDmJ+rmSpXd3dIbrHY+MTRCxf3vjVBH40Nr8X8gdRQBpUMLUo.
Using MFA delete
If a bucket’s versioning configuration is MFA Delete-enabled, the bucket owner must include the x-amz-mfa request header in requests to permanently delete an object version or change the versioning state of the bucket. Requests that include x-amz-mfa must use HTTPS. The header’s value is the concatenation of your authentication device’s serial number, a space, and the authentication code displayed on it. If you do not include this request header, the request fails.
Reference: https://aws.amazon.com/s3/features/
https://docs.aws.amazon.com/AmazonS3/latest/dev/ObjectVersioning.html
https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMFADelete.html
NEW QUESTION 43
A company wants to replace its call system with a solution built using AWS managed services. The company call center would like the solution to receive calls, create contact flows, and scale to handle growth projections. The call center would also like the solution to use deep learning capabilities to recognize the intent of the callers and handle basic tasks, reducing the need to speak an agent. The solution should also be able to query business applications and provide relevant information back to calls as requested.
Which services should the Solution Architect use to build this solution? (Choose three.)
- A. Amazon Lex to recognize the intent of the caller.
- B. Amazon Connect to create a cloud-based contact center.
- C. Amazon Alexa for Business to build conversational interface.
- D. AWS Lambda to integrate with internal systems.
- E. Amazon SQS to add incoming callers to a queue.
- F. Amazon Rekognition to identity who is calling.
Answer: B,D,E
NEW QUESTION 44
A Solutions Architect is designing the storage layer for a data warehousing application. The data files are large, but they have statically placed metadata at the beginning of each file that describes the size and placement of the file’s index. The data files are read in by a fleet of Amazon EC2 instances that store the index size, index location, and other category information about the data file in a database. That database is used by Amazon EMR to group files together for deeper analysis.
What would be the MOST cost-effective, high availability storage solution for this workflow?
- A. Store the data files in Amazon EFS mounted by the EC2 fleet and EMR nodes.
- B. Store the content of the data files in Amazon DynamoDB tables with the metadata, index, and data as their own keys.
- C. Store the data files on Amazon EBS volumes and allow the EC2 fleet and EMR to mount and unmount the volumes where they are needed.
- D. Store the data files in Amazon S3 and use Range GET for each file’s metadata, then index the relevant data.
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectGET.html
NEW QUESTION 45
A company is planning to migrate 1,000 on-premises servers to AWS. The servers run on several VMware clusters in the company’s data center. As part of the migration plan, the company wants to gather server metrics such as CPU details, RAM usage, operating system information, and running processes. The company then wants to query and analyze the data.
Which solution will meet these requirements?
- A. Export only the VM performance information from the on-premises hosts. Directly import the required data into AWS Migration Hub. Update any missing information in Migration Hub. Query the data by using Amazon QuickSight.
- B. Deploy the AWS Application Discovery Agent to each on-premises server. Configure Data Exploration in AWS Migration Hub. Use Amazon Athena to run predefined queries against the data in Amazon S3.
- C. Create a script to automatically gather the server information from the on-premises hosts. Use the AWS CLI to run the put-resource-attributes command to store the detailed server data in AWS Migration Hub.
Query the data directly in the Migration Hub console. - D. Deploy and configure the AWS Agentless Discovery Connector virtual appliance on the on-premises hosts. Configure Data Exploration in AWS Migration Hub. Use AWS Glue to perform an ETL job against the data. Query the data by using Amazon S3 Select.
Answer: D
Explanation:
Explanation
The Agentless Discovery Connector is a virtual appliance that can be deployed on-premises to automatically discover the servers, applications, and network infrastructure in the data center. It can collect server metrics such as CPU details, RAM usage, operating system information, and running processes. The data collected can then be used in AWS Migration Hub to track the migration progress and identify dependencies.
AWS Glue can be used to perform an ETL job on the data collected by the Agentless Discovery Connector to prepare the data for analysis. The data can then be stored in Amazon S3 and queried using Amazon S3 Select, which allows you to retrieve specific data from a S3 object.
AWS Migration Hub provides a centralized place to track and monitor the progress of an application migration. The service allow you to track on-premises and cloud-based resources, and it provides a holistic view of your migration progress.
Reference:
https://aws.amazon.com/migration-hub/
https://aws.amazon.com/discovery-connector/
https://aws.amazon.com/glue/
https://aws.amazon.com/s3/features/select/
NEW QUESTION 46
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