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Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q12-Q17):

NEW QUESTION # 12
An IAM user is trying to perform an action on an object belonging to some other root account's bucket.
Which of the below mentioned options will AWS S3 not verify?

A. Permission provided by the bucket owner to the IAM user
B. Permission provided by the parent of the IAM user on the bucket
C. Permission provided by the parent of the IAM user
D. The object owner has provided access to the IAM user

Answer: B

Explanation:
If the IAM user is trying to perform some action on the object belonging to another AWS user's bucket, S3 will verify whether the owner of the IAM user has given sufficient permission to him. It also verifies the policy for the bucket as well as the policy defined by the object owner.
Reference:
http://docs.aws.amazon.com/AmazonS3/latest/dev/access-control-auth-workflow-object-operation.html

NEW QUESTION # 13
A company hosts a static website within an Amazon S3 bucket. A solutions architect needs to ensure that data can be recovered in case of accidental deletion.
Which action will accomplish this?

A. Enable an Amazon S3 lifecycle policy
B. Enable Amazon S3 versioning
C. Enable Amazon S3 cross-Region replication.
D. Enable Amazon S3 Intelligent-Tiering.

Answer: B

Explanation:
Explanation
Data can be recover if versioning enable, also it provide a extra protection like file delete,MFA delete. MFA Delete only works for CLI or API interaction, not in the AWS Management Console. Also, you cannot make version DELETE actions with MFA using IAM user credentials. You must use your root AWS account.
https://aws.amazon.com/blogs/security/securing-access-to-aws-using-mfa-part-3/ 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.
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.
https://docs.aws.amazon.com/AmazonS3/latest/dev/ObjectVersioning.html

NEW QUESTION # 14
A solutions architect is tasked with transferring 750 TB of data from a network-attached file system located at a branch office to Amazon S3 Glacier The solution must avoid saturating the branch office's low-bandwidth internet connection.
What is the MOST cost-effective solution?

A. Order 10 AWS Snowball appliances and select an Amazon S3 bucket as the destination. Create a lifecycle policy to transition the S3 objects to Amazon S3 Glacier
B. Create a site-to-site VPN tunnel to an Amazon S3 bucket and transfer the files directly Create a bucket policy to enforce a VPC endpoint
C. Order 10 AWS Snowball appliances and select an S3 Glacier vault as the destination Create a bucket policy to enforce a VPC endpoint
D. Mount the network-attached file system to Amazon S3 and copy the files directly. Create a lifecycle policy to transition the S3 objects to Amazon S3 Glacier

Answer: A

Explanation:
Explanation
Regional Limitations for AWS Snowball
The AWS Snowball service has two device types, the standard Snowball and the Snowball Edge. The following table highlights which of these devices are available in which regions.

Limitations on Jobs in AWS Snowball
The following limitations exist for creating jobs in AWS Snowball:
For security purposes, data transfers must be completed within 90 days of the Snowball being prepared.
Currently, AWS Snowball Edge device doesn't support server-side encryption with customer-provided keys (SSE-C). AWS Snowball Edge device does support server-side encryption with Amazon S3-managed encryption keys (SSE-S3) and server-side encryption with AWS Key Management Service-managed keys (SSE-KMS). For more information, see Protecting Data Using Server-Side Encryption in the Amazon Simple Storage Service Developer Guide.
In the US regions, Snowballs come in two sizes: 50 TB and 80 TB. All other regions have the 80 TB Snowballs only. If you're using Snowball to import data, and you need to transfer more data than will fit on a single Snowball, create additional jobs. Each export job can use multiple Snowballs.
The default service limit for the number of Snowballs you can have at one time is 1. If you want to increase your service limit, contact AWS Support.
All objects transferred to the Snowball have their metadata changed. The only metadata that remains the same is filename and filesize. All other metadata is set as in the following example: -rw-rw-r-- 1 root root [filesize] Dec 31 1969 [path/filename] Object lifecycle management To manage your objects so that they are stored cost effectively throughout their lifecycle, configure their Amazon S3 Lifecycle. An S3 Lifecycle configuration is a set of rules that define actions that Amazon S3 applies to a group of objects. There are two types of actions:
Transition actions-Define when objects transition to another storage class. For example, you might choose to transition objects to the S3 Standard-IA storage class 30 days after you created them, or archive objects to the S3 Glacier storage class one year after creating them.
Expiration actions-Define when objects expire. Amazon S3 deletes expired objects on your behalf.
The lifecycle expiration costs depend on when you choose to expire objects.
https://docs.aws.amazon.com/snowball/latest/ug/limits.html
https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html

NEW QUESTION # 15
A company hosts a multiplayer gaming application on AWS. The company wants the application to read data with sub-millisecond latency and run one-time queries on historical data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon DynamoDB with DynamoDB Accelerator (DAX) for data that is frequently accessed.
Export the data to an Amazon S3 bucket by using DynamoDB table export. Run one-time queries on the data in Amazon S3 by using Amazon Athena.
B. Store the data directly in an Amazon S3 bucket. Implement an S3 Lifecycle policy to move older data to S3 Glacier Deep Archive for long-term storage. Run one-time queries on the data in Amazon S3 by using Amazon Athena
C. Use Amazon RDS for data that is frequently accessed. Run a periodic custom script to export the data to an Amazon S3 bucket.
D. Use Amazon DynamoDB for data that is frequently accessed Turn on streaming to Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to read the data from Kinesis Data Streams. Store the records in an Amazon S3 bucket.

Answer: A

Explanation:
Explanation
As they would like to retrieve the data with sub-millisecond, DynamoDB with DAX is the answer.
DynamoDB supports some of the world's largest scale applications by providing consistent, single-digit millisecond response times at any scale. You can build applications with virtually unlimited throughput and storage.
https://aws.amazon.com/dynamodb/dax/?nc1=h_ls

NEW QUESTION # 16
Provisioned IOPS Costs: you are charged for the IOPS and storage whether or not you use them in a given month.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 17
......

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