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NEW QUESTION: 1
A DevOps Engineer finds that customers are experiencing long response times.
* It is unclear which responses are slow.
* It is cache hit ratio is low.
* Many requests are served from the publish instance
What should the DevOps Engineer use to analyze the issue?
A. Jtail.jar to analyze audit.log
B. Rlog.jar to analyze dispatcher.log
C. Rlog.jar to analyze request.log
D. Jtail.jar to analyze access.log
Answer: D

NEW QUESTION: 2
Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You have a Microsoft SQL Server database that contains the following tables.

The following columns contain data information:
* Date[Month] in the mmyyyy format
* Date[Date_ID] in the ddmmyyyy format
* Date[Date_name] in the mm/dd/yyyy format
* Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI desktop to create an analytics solution for the data.
End of repeated scenario.
You need to configure a KPI indicator to show the monthly sales of a store versus the target sales of the store.
How should you configure the KPI indicator? To answer, drag the appropriate column to the correct fields.
Each column may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation
Indicator : Order[Order_amount]
Trend axis = Date[Month]
Target goals = Store[Sales-target]
References:
https://powerbi.microsoft.com/en-us/guided-learning/powerbi-service-tutorial-kpi/#how-to-create-a-kpi

NEW QUESTION: 3
An Einstein Analytics team plans to enable data sync (replication).
Which two limits are specific to data sync (replication) and should be considered before enabling the feature because they might impact existing jobs?
Choose 2 answers
A. Timeout for ELT (Extract Load Transform) jobs that are scheduled but not yet executed
B. Maximum number of objects that can be enabled for data sync (replication)
C. Maximum number of dataflow definitions
D. Maximum number of dataflow transformations
Answer: B,C
Explanation:
Explanation
https://help.salesforce.com/articleView?id=bi_limits.htm&type=5

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