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Google LookML-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: LookML Fundamentals | - Basic LookML syntax
|
| Topic 2: Development Workflow | - Version control
|
| Topic 3: Security and Governance | - Data governance
|
| Topic 4: Explores and User Experience | - Content delivery
|
| Topic 5: Data Modeling | - Data transformation
|
The Google Looker LookML Developer Exam: Answers Before You Buy
Whichever matches your habits — all three are built around the same Google Looker LookML Developer content. The PDF version suits paper readers: print it out, mark it up, and share pages with a study partner. The PC test engine suits computer-based learners: it simulates the real exam scene, lets you set a time limit like the live LookML-Developer exam, flags your mistakes, and reminds you to re-practice them daily. The online APP includes every software function and runs on Windows, Mac, Android, and iOS. Choose the one you will actually use every day.
The LookML-Developer exam contains Not publicly disclosed questions to be completed in 120 minutes minutes. That pace is exactly what the PC test engine's timed mode trains — set the same limit in practice, and the real clock stops being a surprise.
Google recommends these training options for candidates:
Official courses build understanding; a daily practice routine with expert-verified answers builds exam-day readiness. The strongest preparation uses both.
To pass the LookML-Developer exam you need Not publicly disclosed, and registration costs $125 USD (may vary by region). Set against that fee, thorough preparation is the smaller expense by far — and the one most likely to protect the larger one.
The official outline divides the LookML-Developer exam into weighted domains, including:
- Data Modeling ()
- Development Workflow ()
- Explores and User Experience ()
The Google Looker LookML Developer practice questions at Prep4SureReview follow these same objectives, whichever of the three study formats you use.
Yes. We understand that many candidates prefer not to advertise how they prepare. Prep4SureReview runs a strict information protection system: your personal details and your LookML-Developer exam purchase are kept secret and safe, and never disclosed to any third party. You can order the Google Looker LookML Developer materials with complete peace of mind.
No formal prerequisites required, but recommended experience with SQL, data modeling, and Looker platform usage
The LookML-Developer exam is the official assessment behind the Google Looker LookML Developer certification from Google. Many IT professionals pursue it as a step toward leadership roles, because the credential verifies practical command of the published objectives. Solid preparation — not luck — is what carries candidates through it.
You can register for the LookML-Developer exam through these official channels:
Book your seat only when your timed practice scores say you are ready — the registration fee is better paid once than twice.
Google Looker LookML Developer Sample Questions:
A user reports the following SQL error when selecting the discounted sale price field:
ERROR: column "order_items.sale_price"; must appear in the GROUP BY clause or be used in an aggregate function.
The developer checks the field definition and finds it to be:
measure: discounted_sale_price {
type: number
sql: ${sale_price} * 0.8 ;;
}
The developer also finds the LookML definition of the sale_price field to be:
dimension: sale_price {
type: number
sql: ${TABLE}.sale_price ;;
}
What is the likely cause of the SQL error?
- A. The underlying database table does not have a field called sale_price.
- B. The discounted_sale_price field should be defined as a dimension of type: number, not as a measure.
- C. The discounted_sale_price field should have a group_by: yes parameter.
- D. The sale_price field should be defined as a measure of type: number, not as a dimension.
Correct Answer: D 🗳️
A developer would like to add a new dimension of type: yesno for the enabled column in their users table. The column is of type: string in the database and returns yes and no values.
How should the developer define the yesno dimension?
A)
B)
C)
D)
- A. Option D
- B. Option A
- C. Option B
- D. Option C
Correct Answer: B 🗳️
A user reports an error message on an Explore: "Non-unique value/primary key (or sql_distinct_key), value overflow or collision when computing sum".
What should the LookML developer check for in the joined views of the Explore?
- A. Symmetric_aggregates: no is not present in the Explore definition.
- B. A unique primary key is defined in each view.
- C. No concatenated primary keys are used.
- D. The sum measure used is defined correctly.
Correct Answer: A 🗳️
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?
- A. required_access_grants: [leadership]
- B. required_access_grants: [total_revenue]
- C. required_access_grants: [can_view_financial_data]
- D. required_access_grants: ["000","999"]
Correct Answer: C 🗳️
Business users report that an ephemeral derived table tile on the dashboard is slow.
Information about the dashboard includes:
The dashboard filter is linked to the user attributes.
This tile usually takes approximately 5 minutes to complete running.
Which solution should be used to improve the dashboard load time?
- A. Build a user attribute filter into the Explore.
- B. Use index distribution_key or sort_key for this derived table.
- C. Persist the derived table.
- D. Use a conditional WHERE clause for Development Mode.
Correct Answer: C 🗳️
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