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NEW QUESTION: 1
What involve developing a purpose and goals statement for CSA, resource budgets and projected completion time lines?
A. Resource planning
B. Operational planning
C. Organizational planning
D. Strategic planning
Answer: D

NEW QUESTION: 2
GREトンネルに関する正しい説明はどれですか。 （2つ選んでください）
A. GREは元のパケットをカプセル化します。
B. GREトンネルはデフォルトでGRE / IPモードで動作します。
C. キャリアプロトコルが配信ヘッダを追加する。
D. IPヘッダーがGREヘッダーをカプセル化している。
E. GREトンネルはデフォルトでGRE / IPsecモードで動作します。
Answer: A,E

NEW QUESTION: 3
Your organization is a financial company that needs to store audit log files for 3 years. Your organization has hundreds of Google Cloud projects. You need to implement a cost-effective approach for log file retention. What should you do?
A. Create an export to the sink that saves logs from Cloud Audit to BigQuery.
B. Write a custom script that uses logging API to copy the logs from Stackdriver logs to BigQuery.
C. Create an export to the sink that saves logs from Cloud Audit to a Coldline Storage bucket.
D. Export these logs to Cloud Pub/Sub and write a Cloud Dataflow pipeline to store logs to Cloud SQL.
Answer: C

NEW QUESTION: 4
You have the following Azure Stream Analytics query.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Yes
You can now use a new extension of Azure Stream Analytics SQL to specify the number of partitions of a stream when reshuffling the data.
The outcome is a stream that has the same partition scheme. Please see below for an example:
WITH step1 AS (SELECT * FROM [input1] PARTITION BY DeviceID INTO 10),
step2 AS (SELECT * FROM [input2] PARTITION BY DeviceID INTO 10)
SELECT * INTO [output] FROM step1 PARTITION BY DeviceID UNION step2 PARTITION BY DeviceID Note: The new extension of Azure Stream Analytics SQL includes a keyword INTO that allows you to specify the number of partitions for a stream when performing reshuffling using a PARTITION BY statement.
Box 2: Yes
When joining two streams of data explicitly repartitioned, these streams must have the same partition key and partition count.
Box 3: Yes
10 partitions x six SUs = 60 SUs is fine.
Note: Remember, Streaming Unit (SU) count, which is the unit of scale for Azure Stream Analytics, must be adjusted so the number of physical resources available to the job can fit the partitioned flow. In general, six SUs is a good number to assign to each partition. In case there are insufficient resources assigned to the job, the system will only apply the repartition if it benefits the job.
Reference:
https://azure.microsoft.com/en-in/blog/maximize-throughput-with-repartitioning-in-azure-stream-analytics/