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NEW QUESTION: 1
アプリケーションを満たすためにApp2を実装する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Standard
Not Shared: A Shared plan does not support Always on.
Box 2: Always on
If your function app is on the Consumption plan, there can be up to a 10-minute delay in processing new blobs if a function app has gone idle. To avoid this cold-start delay, you can switch to an App Service plan with Always On enabled, or use a different trigger type.
Scenario: A newly developed API must be implemented as an Azure function named App2. App2 will use a blob storage trigger. App2 must process new blobs immediately.
App2 must be able to connect directly to the private IP addresses of the Azure virtual machines. App2 will be deployed directly to an Azure virtual network.
The cost of App1 and App2 must be minimized.
References:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-storage-blob
https://azure.microsoft.com/en-us/pricing/details/app-service/plans/

NEW QUESTION: 2
Your Database Machine has a large database with some very large tables supporting OLTP workloads.
High volume Insert applications and high volume update workloads access the same tables.
You decide to compress these tables without causing unacceptable performance overheads to the OLTP application.
Which three are true regarding this requirement?
A. The compression is performed on the storage servers when using compress for oltp in an Exadata environment.
B. Using 'compress for oltp' will compress the data less than if using Hybrid Columnar Compression when specified with compress for query low.
C. The compression is performed on the database servers when using 'compress for oltp' in an Exadata environment.
D. The compression method compress for archive high is the worst fit for this requirement.
E. Using 'compress for oltp' will compress the data more than if using Hybrid Columnar Compression when specified with compress for archive low.
Answer: B,C,D
Explanation:
Note:
(E not B):
*Types of compression
Basic compression OLTP compression Warehouse compression Online archival compressio * / OLTP compression allows compression during DML operations. / Basic compression works at the data block level.
*When you enable table compression by specifying COMPRESS FOR OLTP, you enable OLTP table compression. Oracle Database compresses data during all DML operations on the table. This form of compression is recommended for OLTP environments.
*When you specify COMPRESS FOR QUERY or COMPRESS FOR ARCHIVE, you enable hybrid columnar compression. With hybrid columnar compression, data can be compressed during bulk load operations. During the load process, data is transformed into a column-oriented format and then compressed. Oracle Database uses a compression algorithm appropriate for the level you specify. In general, the higher the level, the greater the compression ratio.
Hybrid columnar compression can result in higher compression ratios, at a greater CPU cost. Therefore, this form of compression is recommended for data that is not frequently updated.

NEW QUESTION: 3
When defining case specialization in the case designer, what underlying application rules are used? (Choose One)
A. A Case type and a Property
B. A Property and a Starter flow
C. A Property and a Supporting flow
D. A Supporting flow and a Case type
Answer: A