Google LookML Developer LookML Developer Dumps in PDF

Free Google LookML Developer Real Questions (page: 10)

After running the LookML Validator, a developer sees the following error message in the Looker development environment:

“Measures with Looker aggregations (sum, average, min, max, list types) may not reference other measures”.

What could be causing this error?

  1. A measure of type: count has a sql parameter defined.
  2. A measure of type: sum adds up other measures in the sql parameter.
  3. A measure of type: sum has a SUM function written in the sql parameter.
  4. A measure of type: number has a SUM function written in the sql parameter.

Answer(s): A


Reference:

https://help.looker.com/hc/en-us/articles/360038371614--Error-Measures-with-Looker-Aggregations-Sum-Average-Min-Max-List-Types-May-Not-Reference-Other-Measures



A user is seeing an error in the Explore that indicates the primary key defined for a one-million-row table is not unique.

How can the developer use SQL Runner to troubleshoot quickly?

  1. Create a query that selects all the fields from the table, and sort by primary key.
  2. Create a query that selects the primary key from the base view, and look for duplicates.
  3. Create a query that counts how many occurrences of the primary key value are in the base view, and sort by count.
  4. Create a query that concatenates two columns to create a compound primary key.

Answer(s): D


Reference:

https://help.looker.com/hc/en-us/articles/360037732513-Error-Non-Unique-value-primary-key-or-sql-distinct-key-value-overflow-or-collision-when-computing-sum



The daily_forecast Explore used by the sales team needs to be cached for 24 hours. All other Explores used by the sales team need to be cached for one hour.

What is a scalable way to configure this caching logic?

  1. Define two datagroups for the model. Apply persist_with at the model level with the datagroup for 1-hour caching, and apply persist_with to daily_forecast with the datagroup for 24-hour caching.
  2. Define max_cache_age on daily_forecast Explores of 24 hours. Define max_cache_age on all other Explores for one hour.
  3. Define two datagroups for the model. Create a persistent derived table (PDT) for the daily_forecast Explore, and apply datagroup_trigger to it using the datagroup for 24-hour caching.
  4. Define for the model one datagroup that caches for 1 hour. Create a persistent derived table (PDT) for the daily_forecast Explore, and apply sql_trigger_value to it selecting the current date.

Answer(s): A


Reference:

https://docs.looker.com/reference/explore-params/persist_for-for-explore



A LookML developer has written the following persistent derived table. It references orders_rollup, another persistent derived table that also rebuilds with the same SQL trigger value.

Which change is needed to guarantee that user_facts will always rebuild with the latest data from orders_rollup?

  1. Change the sql_trigger_value parameter of user_facts to select the current date plus one hour, so it triggers an hour after orders_rollup.
  2. Change the orders_rollup view reference to ${orders_rollup.DERVIED_TABLE_NAME}
  3. Change the sql_trigger_value parameter for both persistent derived tables to a datagroup_trigger parameter, and set them to use the same datagroup.
  4. Change the orders_rollup view reference to the literal table name from the database’s scratch schema.

Answer(s): C


Reference:

https://docs.looker.com/reference/view-params/sql_trigger_value



A retail company wants to limit who can see the financial information in their reports to executives and store managers. The LookML Developer creates a user attribute called leadership with the value “000” for executives and “999” for store managers. The developer creates three access grant objects and one dimension:



How should the developer ensure that only authorized users see the data in the Total Revenue dimension?

  1. required_access_grants: [can_view_financial_data]
  2. required_access_grants: [leadership]
  3. required_access_grants: [“000”,“999”]
  4. required_access_grants: [total_revenue]

Answer(s): A


Reference:

https://community.looker.com/technical-tips-tricks-1021/how-to-use-and-troubleshoot-access-grants-field-permissions-23986



Share your comments for Google LookML Developer exam with other users:

C
CW
7/6/2023 7:06:00 PM

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9/26/2023 10:52:00 AM

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6/16/2023 9:08:00 AM

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10/23/2023 3:35:00 PM

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Whizzle
7/24/2023 6:19:00 AM

q26 should be b

S
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Saravana Kumar TS
12/8/2023 9:49:00 AM

question: 93 which statement is true regarding the result? sales contain 6 columns and values contain 7 columns so c is not right answer.

L
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3/30/2023 11:43:00 PM

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6/3/2023 2:39:00 AM

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Steve
8/17/2023 2:19:00 PM

question #18s answer should be a, not d. this should be corrected. it should be minvalidityperiod

R
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12/24/2023 4:33:00 AM

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7/12/2023 9:10:00 AM

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