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NEW QUESTION: 1
You have a server named SQL1 that has SQL Server 2012 installed. SQL1 hosts a database named Database1.
Database1 contains a table named Table1. Table1 is partitioned across five filegroups based on the Date field.
The schema of Table1 is configured as shown in the following table.

Table1 contains the indexes shown in the following table.

You need to recommend an index strategy to maximize performance for the queries that consume the indexes available to Table1.
Which type of index storage should you recommend? To answer, drag the appropriate index storage type to the correct index in the answer area.

Answer:
Explanation:

Explanation

Index Storage Type
Designing a partitioned index independently (unaligned) of the base table can be useful in the following cases:
- The base table has not been partitioned.
- The index key is unique and it does not contain the partitioning column of the table.
- You want the base table to participate in collocated joins with more tables using different join columns.

NEW QUESTION: 2
After reviewing the last quarter's monthly bills, management has noticed an increase in the overall bill from Amazon. After researching this increase in cost, you discovered that one of your new services is doing a lot of GET Bucket API calls to Amazon S3 to build a metadata cache of all objects in the applications bucket. Your boss has asked you to come up with a new cost-effective way to help reduce the amount of these new GET Bucket API calls. What process should you use to help mitigate the cost?
A. Create a new DynamoDB table. Use the new DynamoDB table to store all metadata about all objects uploaded to Amazon S3. Any time a new object is uploaded, update the application's internal Amazon S3 object metadata cache from DynamoDB.
C Using Amazon SNS, create a notification on any new Amazon S3 objects that automatical ly updates a new DynamoDB table to store all metadata about the new object. Subscribe the application to the Amazon SNS topic to update its internal Amazon S3 object metadata cache from the DynamoDB table.

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B. Update your Amazon S3 buckets' lifecycle policies to automatically push a list of objects to a new bucket, and use this list to view objects associated with the application's bucket.
C. Upload all files to an ElastiCache file cache server. Update your application to now read all file metadata from the ElastiCache file cache server, and configure the ElastiCache policies to push all files to Amazon S3 for long-term storage.
Answer: C
Explanation:
Explanation
Option A is an invalid option since Lifecycle policies are normally used for expiration of objects or archival of objects.
Option B is partially correct where you store the data in DynamoDB, but then the number of GET requests would still be high if the entire DynamoDB table had to be traversed and each object compared and updated in S3.
Option D is invalid because uploading all files to Clastic Cache is not an ideal solution.
The best option is to have a notification which can then trigger an update to the application to update the DynamoDB table accordingly.
For more information on SNS triggers and DynamoDB please refer to the below link:
https://aws.amazon.com/blogs/compute/619/

NEW QUESTION: 3

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