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Looker LookML Developer Exam

Last Update Nov 24, 2024
Total Questions : 50

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Total Questions : 50

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Last Update Nov 24, 2024
Total Questions : 50

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Looker-Business-Analyst Total Questions : 40 Updated : Nov 24, 2024

Looker LookML Developer Exam Questions and Answers

Questions 1

A developer needs to add an Explore built off of the orders view, which surfaces only completed orders. An orders Explore exists that contains all order information. Fields from the orders view arealso referenced in other existing views such as ${orders.fieldname}.

How should developer define a new Explore for completed orders and keep all field references working correctly?

A)

LookML-Developer Question 1

B)

LookML-Developer Question 1

C)

LookML-Developer Question 1

D)

LookML-Developer Question 1

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

Questions 2

A developer creates a derived table and wants to add persistence to it. Because the table is not used on a frequent basis, the developer wants thetable to be cached for 12 hours, but only when a user has queried it.

Which persistence parameter should be added to the derived table’s definition in order to satisfy this use case?

Options:

A.

persist_with: “12 hours”

B.

datagroup: 12_hours {

max_cache_age: “12 hours”

}

C.

persist_for: “12 hours”

D.

sql_trigger_value: SELECT FLOOR{UNIX_TIMESTAMP{} / {6*60*60}} ;;

Questions 3

A developer needs to implement three persistent derived tables (PDTs) as described below.

The PDTs need to be refreshed after the daily ETL pipeline adds incremental loads to the underlying tables.

Each PDT is built off of one underlying table in the database (one PDT per table).

The underlying tables for each PDT are updated one after the other, and a new row is added to an ETL log table each time a table is updated.

Due to the unpredictable nature of the ETL pipeline, each PDT does not refresh at the same time from day to day.

Each PDT takes over an hour to build, and to save on compute costs each PDT should only be refreshed once per day.

How can the developer set up the PDTs according to these requirements?

Options:

A.

Create one datagroup tied to all three PDTs that runs when the total row count across all three tables changes.

B.

Create one datagroup tied to all three PDTs that parameterizes the view name for each PDT in the SQL trigger condition.

C.

Create three separate datagroups tied to three PDTs that run when each corresponding table’s row count changes.

D.

Create threeseparate datagroups tied to three PDTs that run when a new row is added to the ETL log table.