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Exam Code: Associate-Developer-Apache-Spark-3.5 Dumps

Questions and Answers: 104

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NEW QUESTION: 1
솔루션 아키텍트는 지사에 있는 네트워크 연결 파일 시스템에서 Amazon S3 Glacier로 750TB의 데이터를 전송해야 합니다. 솔루션은 지사의 저 대역 인터넷 연결을 포화시키지 않아야 합니다. MOST 비용 효율적인 솔루션은 무엇입니까?
A. 사이트 간 VPN 터널을 Amazon S3 버킷으로 생성하고 파일을 직접 전송 버킷 정책을 생성하여 VPC 엔드 포인트를 시행
B. 네트워크 연결 파일 시스템을 Amazon S3에 마운트하고 파일을 직접 복사하십시오. 수명주기 정책을 생성하여 S3 객체를 Amazon S3 Glacier로 전환
C. 10 개의 AWS Snowball 어플라이언스를 주문하고 S3 Glacier 저장소를 대상으로 선택 버킷 정책을 생성하여 VPC 엔드 포인트를 시행하십시오.
D. 10 개의 AWS Snowball 어플라이언스를 주문하고 Amazon S3 버킷을 대상으로 선택 수명주기 정책을 생성하여 S3 객체를 Amazon S3 Glacier로 전환
Answer: D
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: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Storage v2 account named storage1.
You plan to archive data to storage1.
You need to ensure that the archived data cannot be deleted for five years. The solution must prevent administrators from deleting the data.
Solution: You create an Azure Blob storage container, you configure a time-based retention policy, and you lock the policy.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation
Time-based retention policy support: Users can set policies to store data for a specified interval. When a time-based retention policy is set, blobs can be created and read, but not modified or deleted. After the retention period has expired, blobs can be deleted but not overwritten.
Note:
Immutable storage for Azure Blob storage enables users to store business-critical data objects in a WORM (Write Once, Read Many) state. This state makes the data non-erasable and non-modifiable for a user-specified interval. For the duration of the retention interval, blobs can be created and read, but cannot be modified or deleted. Immutable storage is available for general-purpose v2 and Blob storage accounts in all Azure regions.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-immutable-storage

NEW QUESTION: 3
You are planning to deploy the new network in Munich.
Which address allocation should you use for the new Munich addresses?
A. FF02::1
B. 2001:777: 1d: 1dc::l
C. FEC0::1
D. FE80::1
Answer: B

NEW QUESTION: 4

A. Option C
B. Option A
C. Option B
Answer: A


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