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- Total Questions: 51
- Updated on: Nov 01, 2026
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Reading notes is one thing; sitting a timed test is another. The Prep4away desktop and online test engines for LookML-Developer recreate the pressure of exam day, and every one of the 51 practice questions can be reviewed afterwards until the reasoning sticks.
Google LookML-Developer Exam Overview:
| Certification Vendor: | |
|---|---|
| Exam Name: | Looker LookML Developer Exam |
| Exam Number: | LookML-Developer |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Related Certifications: | Google Looker Business Analyst |
| Passing Score: | 70% |
| Exam Price: | $250 USD |
| Real Exam Qty: | 40-50 |
| Exam Format: | Multiple choice, Multiple select, Scenario-based |
| Certificate Validity Period: | 3 years |
| 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 |
|---|---|---|
| Optimization | 25% | - Implement PDTs and caching policies - Optimize query and report performance |
| Model Management | 30% | - Implement data security requirements - Maintain LookML project health - Create LookML objects from requirements - Troubleshoot errors in existing data models |
| Quality & Governance | 20% | - Assess and improve LookML code quality - Validate data using SQL Runner - Version control and deployment workflow |
| Customization | 25% | - Build and configure Explores - Design dimensions and measures |
Everything You Want to Know About the Google Looker LookML Developer (LookML-Developer) Exam
The LookML-Developer exam, officially titled Looker LookML Developer, is the Google exam you pass to earn the Looker LookML Developer certification, a credential at the Professional level. Passing it confirms the skills defined in the official exam outline, and it is associated with related credentials such as Google Looker Business Analyst.
The LookML-Developer exam includes 40-50 questions and gives you 90 minutes to finish them. That is a tight pace per question, so get used to reading each stem once, flagging anything uncertain, and moving on rather than getting stuck. Running timed practice tests in the Prep4away desktop or online test engine is the most reliable way to build that rhythm before exam day.
The passing score for the LookML-Developer exam is 70%, and the official registration fee is $250 USD. Keep in mind that a failed attempt means paying $250 USD again in full to retake it, so book your slot only when your scores on Prep4away practice tests sit consistently above the passing line.
Google lists the following prerequisites or eligibility notes for the LookML-Developer exam: No formal prerequisites; recommended 6+ months hands-on LookML development, SQL proficiency, data modeling experience. Requirements can change over time, so confirm the details on the official exam page at Google's official site before you register.
You can register for the LookML-Developer exam through the official channels below:
The exam is delivered in the following format: Online proctored or onsite at authorized test centers; **Retired April 1, 2022**. Choose a date that leaves you enough time to work through the full 51-question practice set first.
Google recommends the following training resources for LookML-Developer candidates:
Official courses build the theory, and the 51 practice questions from Prep4away help you turn that theory into exam-ready speed and accuracy.
Yes. Prep4away offers a free PDF demo of the LookML-Developer material, so you can check the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates, and if your product expires you can extend the update service at a 50% discount from your member zone.
Your purchase is protected by a 100% Money Back Guarantee with clear conditions: if you take the corresponding LookML-Developer exam within 60 days of purchase and do not pass, you can apply for a full refund. The candidate name must match the payer name, and you need to submit a scanned exam enrollment slip together with the official Score Report PDF within 2 days of taking the exam; claims are processed within 7 days. Sitting the exam within 3 days of purchase, downloading without taking the exam, free materials, and expired orders are not covered. If you would rather not take a refund, you can exchange your order for two free exam products of equal value and keep the update service on your original purchase.
Delivery is instant: your download links are emailed within one minute of payment, and you can also download directly from the website. If nothing arrives within 2 hours, contact customer service and check your spam folder. There is no limit on how many computers you can install the material on.
The LookML-Developer exam blueprint is divided into 4 domains, starting with Customization (25%); Optimization (25%); Model Management (30%). For the complete domain-by-domain breakdown, see the Exam Topics section above — it lists every topic the current outline covers.
Google Looker LookML Developer Sample Questions:
A LookML developer has a transactions view with several measures that each perform complex calculations involving multiple fields. The LookML developer creates an Explore based on the transactions view. The product team wants to perform further functions on these measures, such as SUM, AVG, MIN, MAX, and RANK. The team wants these further functions to be performed at different levels of detail: weekly, monthly, and yearly.
How can the LookML developer model these requirements and minimize the amount of code rewriting?
- A. Change the existing measures in the transactions view to dimensions, and add measures of the different required types.
- B. Create native derived tables using transactions as the explore_source.
- C. Create a constant for each measure so it can be reused across other areas of the LookML project.
- D. Add measures to the transactions view of type: number to apply the required functions.
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. No concatenated primary keys are used.
- B. The sum measure used is defined correctly.
- C. A unique primary key is defined in each view.
- D. Symmetric_aggregates: no is not present in the Explore definition.
Correct Answer: D 🗳️
A developer is defining the users table within a view file in Looker. The users table will be available as an individual Explore and it will also be joined into other Explores, such as the products Explore. The developer needs to limit the fields visible in the products Explore without affecting the visibility of the fields in the users Explore.
How should the developer meet this requirement?
- A. Use the hidden parameter in the users view file for the fields that should not come over to the products Explore and leave the users Explore as is.
- B. Use the fields parameter at the join level for the products Explore to specify which fields should be included and leave the users Explore as is.
- C. Create duplicate dimensions and measures, one for the users Explore and one for the products Explore, and use the hidden parameter to modify the visibility of the fields.
- D. Create two view files for the users table. One view file will have all possible fields for the users Explore, and the other will have only the fields required for the products Explore.
Correct Answer: B 🗳️
A developer is connecting a LookML project to a remote Git repository. The developer wants to track which users are committing code changes, creating pull requests, or deploying to production when the different Git commands are initiated from within Looker.
Which type of Git connection should be utilized to meet this business requirement?
- A. Multiple account HTTPS
- B. A bare Git repository
- C. Single account HTTPS
- D. SSH
Correct Answer: D 🗳️
A developer wants to create a new Explore based on the order_items view. The developer creates an Explore in the ecommerce model file with the following definition:
explore: order_items {}
After saving and validations, the developer receives this LookML validator error:
Inaccessible view "inventory_items", "inventory_items" is not accessible in explore" "order_items". Check for typos and missing joins in explore "order_items".
What caused this error to appear?
- A. There is another Explore named order_items which references the inventory_items view.
- B. A field in the order_items view references a field in the inventory_items view.
- C. A field in the inventory_items view references a field in the order_items view.
- D. There is an Explore named inventory_items which references the order_items view.
Correct Answer: B 🗳️
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