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- Total Questions: 51
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Google LookML-Developer Exam Overview:
| Certification Vendor: | |
|---|---|
| Exam Name: | Looker LookML Developer Exam |
| Exam Number: | LookML-Developer |
| Real Exam Qty: | 40-50 |
| Related Certifications: | Google Looker Business Analyst |
| Exam Price: | $250 USD |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Passing Score: | 70% |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple choice, Multiple select, Scenario-based |
| Recommended Training: | Google Cloud Looker Learning Path Looker Official Documentation |
| Exam Registration: | Google Cloud Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at authorized test centers; **Retired April 1, 2022** |
| Pre Condition: | No formal prerequisites; recommended 6+ months hands-on LookML development, SQL proficiency, data modeling experience |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/lookml-developer |
Google LookML-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Optimization | 25% | - Implement PDTs and caching policies - Optimize query and report performance |
| Topic 2: Quality & Governance | 20% | - Version control and deployment workflow - Validate data using SQL Runner - Assess and improve LookML code quality |
| Topic 3: Model Management | 30% | - Troubleshoot errors in existing data models - Implement data security requirements - Maintain LookML project health - Create LookML objects from requirements |
| Topic 4: Customization | 25% | - Design dimensions and measures - Build and configure Explores |
Everything You Are Asking About the Google Looker LookML Developer
The Google Looker LookML Developer blueprint is divided into 4 domains, headlined by Optimization (25%), Customization (25%), and Quality & Governance (20%). The full weighted outline is in the syllabus section above — our materials are revised against it, and your study hours should follow it too.
For the Google Looker LookML Developer, Google points candidates toward these resources:
Official training builds the foundation; deliberate practice builds the result. Pair whichever course you choose with 51 practice questions from TestKingFree and you prepare on both fronts.
The LookML-Developer exam packs 40-50 questions into 90 minutes. That ratio is the hidden exam-within-the-exam: candidates who never practice under time pressure often know the content and still run out of minutes. Use the TestKingFree Windows engine or online engine in timed mode, and let pacing become a practiced skill rather than an exam-day surprise.
Delivery first: download immediately after payment, with an email copy arriving within one minute. If 2 hours pass with no email, check spam and contact our support team. There is no limit on how many computers you can install the software on.
If you sit the LookML-Developer exam within 60 days of purchase and do not pass, the TestKingFree money back guarantee covers you: file within 2 days of the exam with a scanned enrollment slip and the official score report (PDF), and the claim is processed within 7 days. The candidate name must match the payer name; the policy excludes exams taken within 3 days of purchase, purchases never used in an actual exam attempt, free materials, and expired orders. If you prefer to keep preparing, exchange the product for two free exam packages of equal value and retain the update service on your original purchase.
You pass the LookML-Developer exam at 70%, and official registration costs $250 USD. Keep in mind the fee covers one attempt only — a retake is billed at full price again. The economical path is to self-test first: drill 51 practice questions at TestKingFree in timed mode until your scores clear the passing mark consistently, then register.
Yes — TestKingFree offers a free PDF demo of the LookML-Developer practice questions, so you can evaluate the expert-designed content and verified answers before paying anything. Once you purchase, 365 days of free updates are included, and if the product expires, the update service renews at a 50% discount from your member zone.
No formal prerequisites; recommended 6+ months hands-on LookML development, SQL proficiency, data modeling experience
Vendor rules change periodically, so before booking, confirm the current criteria on the official Google exam page.
You can schedule the Google Looker LookML Developer through the official channels below:
One note for scheduling: the LookML-Developer exam is delivered Online proctored or onsite at authorized test centers; **Retired April 1, 2022**.
The LookML-Developer exam — full name Looker LookML Developer — is Google's certification exam for professionals working with its technologies; passing it awards the Looker LookML Developer certification, a credential at the Professional level. It is the kind of vendor-issued proof employers can compare across candidates, which is exactly why it stays in demand. It also leads naturally toward Google Looker Business Analyst.
Google Looker LookML Developer Sample Questions:
A LookML developer creates a new model and a test dashboard from the model. The developer shares the link to the new dashboard with users, but the users report that all they see is the "Model Not Found" error.
What is a possible cause of this issue?
- A. The developer has not pushed the new model to Production Mode.
- B. The users do not have permission to access this dashboard.
- C. The developer has not added users to the new model set.
- D. The new model is missing an Explore definition.
Correct Answer: C 🗳️
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 C
- B. Option A
- C. Option D
- D. Option B
Correct Answer: B 🗳️
A user needs to create a report that shows a count of all orders and of orders over $100.
Which solution should the developer implement to meet these requirements?
- A. A front-end filter in the Explore
- B. An always_filter parameter
- C. A sql_always_where parameter
- D. A filtered measure
Correct Answer: A 🗳️
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 sale_price field should be defined as a measure of type: number, not as a dimension.
- B. The discounted_sale_price field should have a group_by: yes parameter.
- C. The underlying database table does not have a field called sale_price.
- D. The discounted_sale_price field should be defined as a dimension of type: number, not as a measure.
Correct Answer: A 🗳️
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?
- A. Create a query that concatenates two columns to create a compound primary key.
- B. Create a query that selects the primary key from the base view, and look for duplicates.
- C. Create a query that counts how many occurrences of the primary key value are in the base view, and sort by count.
- D. Create a query that selects all the fields from the table, and sort by primary key.
Correct Answer: A 🗳️
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