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質問 1：
A client provides the following three files:
File A:
File B:
File C:
File A was uploaded using the Ads data stream type.
The client would like to create this view (data from Files B & C) in Datorama:
Which proposed solution would cause a false connection between the two files?
A. VLOOKUP in Data Stream C. Vlookup will return "MB Name"
B. Data Classification
C. Custom classification
D. VLOOKUP in Data Stream B. Vlookup will return "Day" and "Installs"
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
A technical architect is provided with the logic and Opportunity file shown below:
The opportunity status logic is as follows:
For the opportunity stages "Interest", "Confirmed Interest" and "Registered", the status should be "Open".
For the opportunity stage "Closed", the opportunity status should be closed Otherwise, return null for the opportunity status
Given the above file and logic and assuming that the file is mapped in a GENERIC data stream type with the following mapping:
"Day" - Standard "Day" field
"Opportunity Key" > Main Generic Entity Key
"Opportunity Stage" - Main Generic Entity Attribute
"Opportunity Count" - Generic Custom Metric
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan
11th. What is the number of opportunities in the Interest stage?
A. 0
B. 1
C. 3
D. 2
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 3：
An implementation engineer is requested to create the harmonization field - Magician This field should come from multiple Twitter Ads data streams, and should follow the below logic:
Using the Harmonization Center, the engineer created a single Pattern for Campaign Name. What other action should the engineer take to meetthe requirements?
A. Create a second Pattern for Media Buy Name and apply a Classification Rule (with the two values) for the final Harmonized Dimension
B. Create a second Pattern for Media Buy Name
C. Create a second Pattern for Media Buy Name and apply two Classification Rules (one for 'Messi' and another for Ronaldo') for the final Harmonized Dimension.
D. Create a second Pattern for Media Buy Name and add a validation list (with the two values) for the final Harmonized Dimension.
正解：C
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
What Is a disadvantage of using a Vlookup formula?
A. Can return values only from the same data stream type
B. Could extend processing time of data streams.
C. It allows classifying data only on a basis of mutual entity keys.
D. It cannot be used more than once from the same data stream.
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
Ina workspace that contains one hundred data streams and a lot of data, what is the biggest downside of using calculated dimensions?
A. Scalability
B. Ease of setup
C. Performance
D. Ease of maintenance
正解：C
解説: (Pass4Test メンバーにのみ表示されます)
質問 6：
An implementation engineer is requested to extract the first three-letter segment of the Campaign Name values.
For example:
Campaign Name: AFD@Mulop-1290
Desired outcome: AFD
Other examples:
Which formula will return the desired values?
A. EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
B. LEFT(EXTRACT(csv[campaign_name'}/-',1),3)
C. LEFT(EXTRACT(csy['campaign_name]],~',0),3)
D. EXTRACT(csv[campaign_name!;@',1)
E. EXTRACT(csv[campaign_name'],-,0)
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
A client provides the following three files:
File A:
File B:
File C:
File A was uploaded using the Ads data stream type.
The client would like to create this view (data from Files B & C) in Datorama:
Which proposed solution would cause a false connection between the two files?
A. VLOOKUP in Data Stream C. Vlookup will return "MB Name"
B. Data Classification
C. Custom classification
D. VLOOKUP in Data Stream B. Vlookup will return "Day" and "Installs"
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
A technical architect is provided with the logic and Opportunity file shown below:
The opportunity status logic is as follows:
For the opportunity stages "Interest", "Confirmed Interest" and "Registered", the status should be "Open".
For the opportunity stage "Closed", the opportunity status should be closed Otherwise, return null for the opportunity status
Given the above file and logic and assuming that the file is mapped in a GENERIC data stream type with the following mapping:
"Day" - Standard "Day" field
"Opportunity Key" > Main Generic Entity Key
"Opportunity Stage" - Main Generic Entity Attribute
"Opportunity Count" - Generic Custom Metric
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan
11th. What is the number of opportunities in the Interest stage?
A. 0
B. 1
C. 3
D. 2
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 3：
An implementation engineer is requested to create the harmonization field - Magician This field should come from multiple Twitter Ads data streams, and should follow the below logic:
Using the Harmonization Center, the engineer created a single Pattern for Campaign Name. What other action should the engineer take to meetthe requirements?
A. Create a second Pattern for Media Buy Name and apply a Classification Rule (with the two values) for the final Harmonized Dimension
B. Create a second Pattern for Media Buy Name
C. Create a second Pattern for Media Buy Name and apply two Classification Rules (one for 'Messi' and another for Ronaldo') for the final Harmonized Dimension.
D. Create a second Pattern for Media Buy Name and add a validation list (with the two values) for the final Harmonized Dimension.
正解：C
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
What Is a disadvantage of using a Vlookup formula?
A. Can return values only from the same data stream type
B. Could extend processing time of data streams.
C. It allows classifying data only on a basis of mutual entity keys.
D. It cannot be used more than once from the same data stream.
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
Ina workspace that contains one hundred data streams and a lot of data, what is the biggest downside of using calculated dimensions?
A. Scalability
B. Ease of setup
C. Performance
D. Ease of maintenance
正解：C
解説: (Pass4Test メンバーにのみ表示されます)
質問 6：
An implementation engineer is requested to extract the first three-letter segment of the Campaign Name values.
For example:
Campaign Name: AFD@Mulop-1290
Desired outcome: AFD
Other examples:
Which formula will return the desired values?
A. EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
B. LEFT(EXTRACT(csv[campaign_name'}/-',1),3)
C. LEFT(EXTRACT(csy['campaign_name]],~',0),3)
D. EXTRACT(csv[campaign_name!;@',1)
E. EXTRACT(csv[campaign_name'],-,0)
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
Matsushita -
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