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NEW QUESTION: 1
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, and you configure a legal hold access policy.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation
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.
Note: Set retention policies and legal holds
1. Create a new container or select an existing container to store the blobs that need to be kept in the immutable state. The container must be in a general-purpose v2 or Blob storage account.
2. Select Access policy in the container settings. Then select Add policy under Immutable blob storage.
Either
3a. To enable legal holds, select Add Policy. Select Legal hold from the drop-down menu.
Or
3b. To enable time-based retention, select Time-based retention from the drop-down menu.
4. Enter the retention interval in days (acceptable values are 1 to 146000 days).
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-immutable-storage
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-immutability-policies-manage
NEW QUESTION: 2
When preparing audit documentation, the auditor of a smaller entity may find it helpful and efficient to record various aspects of the audit together in a single document, with cross-references to supporting working papers as appropriate. Examples of matters that may bedocumented together in the audit of a smaller entity include the understanding of the entity and its internal control, the overall audit strategy and audit plan, materiality, assessed risks, significant matters noted during the audit, and conclusions reached.
Which one of the following would not be included in the overall audit strategy?
A. Identification of specific audit risks
B. Confirmation of management's responsibility for the financial statements
C. Details of economic factors and industry conditions
D. The results of initial analytical procedures
Answer: B
NEW QUESTION: 3
Which statement is true about creating individual usergroups for each partner organization, when creating partner organizations?
A. Partner organizations use the same usergroups defined for the host company.
B. Partner organizations have only users, but no user groups.
C. The groups of partner organizations are created by using the Bulk Upload utility or SOAP API calls.
D. The groupsof a partner organization are maintained by FullAccess users belonging to the partner organization.
E. A host company FullAccess user create groups for partner organizations; however, the superuser of a partner organization can only assign users to existing groups.
Answer: E
NEW QUESTION: 4
Partial details of an execution plan.
Which statement correctly describes the BITMAP AND operation?
A. It produces a bitmap, representing dimension table rows from all dimension tables that join with qualified fact table rows.
B. It produces a bitmap, representing fact table rows that join with qualified dimension table rows from all dimension tables.
C. It produces a bitmap, representing fact table rows that do not join with qualified dimension table rows from all dimension tables.
D. It produces a concentration of the bitmaps for all dimension tables.
Answer: B
Explanation:
Example:
Additional set operations will be done for the customer dimension and
the product dimension. At this point in the star query processing, there are threebitmaps.
Each bitmap corresponds to a separate dimension table, and each bitmap represents the
set of rows of the fact table that satisfy that individual dimension's constraints.
These three bitmaps are combined into a single bitmap using the bitmap AND operation. This final bitmap represents the set of rows in the fact table that satisfy all of the constraints on the dimension table.
Reference: OracleDatabase Data Warehousing Guide,Star Transformation with a Bitmap Index
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Aalk - 2014-05-05 16:45:18
Plato - 2014-05-05 16:45:51
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Eleanore - 2014-09-28 16:36:48