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NEW QUESTION: 1
企業は、Einstein Analyticsを使用して、販売パイプラインの傾向を分析したいと考えています。同社は販売プロセスを加速したいと考えています。そのためには、各段階で機会が費やす平均時間を知る必要があります。
この値はSalesforceで事前に計算されないため、コンサルタントはデータフローを使用して計算することを推奨しています。
データフローを使用して、機会が各段階で費やす平均時間を計算するにはどうすればよいですか？
A. 期間を計算するためのSAQL式を使用したcomputeExpression変換
B. 期間を計算するためのoffsetパラメーターを使用したcomputeRelative変換
C. 期間を計算するためのSAQL式を使用したcomputeRelative変換
D. オフセット式を使用して変換を平坦化し、期間を計算します
Answer: C
Explanation:
Explanation
https://help.salesforce.com/articleView?id=bi_integrate_computeRelative_transformation_operation.htm
NEW QUESTION: 2
A web application accepts orders from online users and places the orders into an Amazon SQS queue. Amazon EC2 instances in an EC2 Auto Scaling group read the messages from the queue, process the orders, and email order confirmations to the users. The Auto Scaling group scales up and down based on the queue depth. At the beginning of each business day, users report confirmation emails are delayed.
What action will address this issue?
A. Change the launch configuration to launch larger EC2 instance types.
B. Create a scheduled scaling action to scale up in anticipation of the traffic.
C. Change the Auto Scaling group to scale up and down based on CPU utilization.
D. Modify the scaling policy to deploy more EC2 instances when scaling up.
Answer: B
NEW QUESTION: 3
What two data sources support direct lookups? (Select two)
A. DB2
B. Teradata
C. ODBC
D. SqIServer
E. Oracle
Answer: A,E
NEW QUESTION: 4
A. Option B
B. Option A
C. Option C
D. Option D
Answer: A
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