Google LookML Developer LookML Developer Dumps in PDF

Free Google LookML Developer Real Questions (page: 2)

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:

M
Michelle
6/23/2023 4:06:00 AM

please upload it

L
Lele
11/20/2023 11:55:00 AM

does anybody know if are these real exam questions?

G
Girish Jain
10/9/2023 12:01:00 PM

are these questions similar to actual questions in the exam? because they seem to be too easy

P
Phil
12/8/2022 11:16:00 PM

i have a lot of experience but what comes in the exam is totally different from the practical day to day tasks. so i thought i would rather rely on these brain dumps rather failing the exam.

B
BV
6/8/2023 4:35:00 AM

good questions

K
krishna
12/19/2023 2:05:00 AM

valied exam dumps. they were very helpful and i got a pretty good score. i am very grateful for this service and exam questions

P
Pie
9/3/2023 4:56:00 AM

will it help?

L
Lucio
10/6/2023 1:45:00 PM

very useful to verify knowledge before exam

A
Ajay
5/17/2023 4:54:00 AM

good stuffs

T
TestPD1
8/10/2023 12:19:00 PM

question 17 : responses arent b and c ?

N
Nhlanhla
12/13/2023 5:26:00 AM

just passed the exam on my first try using these dumps.

R
Rizwan
1/6/2024 2:18:00 AM

very helpful

Y
Yady
5/24/2023 10:40:00 PM

these questions look good.

K
Kettie
10/12/2023 1:18:00 AM

this is very helpful content

S
SB
7/21/2023 3:18:00 AM

please provide the dumps

D
David
8/2/2023 8:20:00 AM

it is amazing

U
User
8/3/2023 3:32:00 AM

quesion 178 about "a banking system that predicts whether a loan will be repaid is an example of the" the answer is classification. not regresion, you should fix it.

Q
quen
7/26/2023 10:39:00 AM

please upload apache spark dumps

E
Erineo
11/2/2023 5:34:00 PM

q14 is b&c to reduce you will switch off mail for every single alert and you will switch on daily digest to get a mail once per day, you might even skip the empty digest mail but i see this as a part of the daily digest adjustment

P
Paul
10/21/2023 8:25:00 AM

i think it is good question

U
Unknown
8/15/2023 5:09:00 AM

good for students who wish to give certification.

C
Ch
11/20/2023 10:56:00 PM

is there a google drive link to the images? the links in questions are not working.

J
Joey
5/16/2023 5:25:00 AM

very promising, looks great, so much wow!

A
alaska
10/24/2023 5:48:00 AM

i scored 87% on the az-204 exam. thanks! i always trust

N
nnn
7/9/2023 11:09:00 PM

good need more

U
User-sfdc
12/29/2023 7:21:00 AM

sample questions seems good

T
Tamer dam
8/4/2023 10:21:00 AM

huawei is ok

Y
YK
12/11/2023 1:10:00 AM

good one nice

D
de
8/28/2023 2:38:00 AM

please continue

D
DMZ
6/25/2023 11:56:00 PM

this exam dumps just did the job. i donot want to ruffle your feathers but your exam dumps and mock test engine is amazing.

J
Jose
8/30/2023 6:14:00 AM

nice questions

T
Tar01
7/24/2023 7:07:00 PM

the explanation are really helpful

D
DaveG
12/15/2023 4:50:00 PM

just passed my exam yesterday on my first attempt. these dumps were extremely helpful in passing first time. the questions were very, very similar to these questions!

A
A.K.
6/30/2023 6:34:00 AM

cosmos db is paas not saas

AI Tutor 👋 I’m here to help!