Google LookML-Developer Exam Topics

Google LookML-Developer Exam

Looker LookML Developer

Total Questions: 50

Last Updated : 28-04-2024

What is Included in the Google LookML-Developer Exam?

Authentic information about the syllabus is essential to go through the Google LookML-Developer exam in the first attempt. Study4Exam provides you with comprehensive information about Google LookML-Developer exam topics listed in the official syllabus. You should get this information at the start of your preparation because it helps you make an effective study plan. We have designed this Google Cloud Certified certification exam preparation guide to give the exam overview, practice questions, practice test, prerequisites, and information about exam topics that help to go through the Google Looker LookML Developer exam. We recommend you use our preparation material to cover the entire Google LookML-Developer exam syllabus. Study4Exam offers 3 formats of Google LookML-Developer exam preparation material. Each format provides new practice questions in PDF format, web-based and desktop practice exams to get passing marks in the first attempt.

Google LookML-Developer Exam Overview :

Exam Name	Looker LookML Developer
Exam Code	LookML-Developer
Official Information	https://cloud.google.com/certification/lookml-developer?skip_cache=true
See Expected Questions	Google LookML-Developer Expected Questions in Actual Exam
Take Self-Assessment	Use Google LookML-Developer Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

Google LookML-Developer Exam Topics :

Section	Objectives
Section 1: Model management	1.1 Troubleshoot errors in existing data models. For example: Determine error sources Apply procedural concepts to resolve errors 1.2 Apply procedural concepts to implement data security requirements. For example: Implement permissions for users Decide which Looker features to use to implement data security (e.g., access filters, field-level access controls, row-level access controls) 1.3 Analyze data models and business requirements to create LookML objects. For example: Determine which views and tables to use Determine how to join views into Explores Build project-based needs (e.g., data sources, replication, mock reports provided by clients) 1.4 Maintain the health of LookML projects in a given scenario. For example: Ensure existing contents are working (e.g., use Content Validator, audit, search for errors) Resolve errors
Section 2: Customization	2.1 Design new LookML dimensions or measures with given requirements. For example: Translate business requirements (specific metrics) into the appropriate LookML structures (e.g., dimensions, measures, and derived tables) Modify existing project structure to account for new reporting needs Construct SQL statements to use with new dimensions and measures 2.2 Build Explores for users to answer business questions. For example: Analyze business requirements and determine LookML code implementation to meet requirements (e.g., models, views, join structures) Determine which additional features to use to refine data (e.g., sql_always_where, always_filter, only showing certain fields using hidden: fields:, etc.)
Section 3: Optimization	3.1 Apply procedural concepts to optimize queries and reports for performance. For example: Determine which solution to use based on performance implications (e.g., Explores, merged results, derived tables) Apply procedural concepts to evaluate the performance of queries and reports Determine which methodology to use based on the query and reports performance sources (e.g., A/B testing, SQL principles) 3.2 Apply procedural concepts to implement persistent derived tables and caching policies based on requirements. For example: Determine appropriate caching settings based on data warehouse’s update frequency (e.g., hourly, weekly, based on ETL completion) Determine when to use persistent derived tables based on runtime and complexity of Explore queries, and on users’ needs Determine appropriate solutions for improving data availability (e.g., caching query data, persisting tables, combination solutions)
Section 4: Quality	4.1 Implement version control based on given requirements. For example: Determine appropriate setup for Git branches (e.g., shared branches, pull from remote production) Reconcile merge conflicts with other developer branches (e.g., manage multiple users) Validate the pull request process 4.2 Assess code quality. For example: Resolve validation errors and warnings Utilize features to increase usability (e.g., descriptions, labels, group labels) Use appropriate coding for project files (e.g., one view per file) 4.3 Utilize SQL Runner for data validation in a given scenario. For example: Determine why specific queries return results by looking at the generated SQL in SQL Runner Resolve inconsistencies found in the system or analysis (e.g., different results than expected, non-unique primary keys) Optimize SQLs for cost or efficiency based on business requirements

Updates in the Google LookML-Developer Exam Topics:

Google LookML-Developer exam questions and practice test are the best ways to get fully prepared. Study4exam's trusted preparation material consists of both practice questions and practice test. To pass the actual Google Cloud Certified LookML-Developer exam on the first attempt, you need to put in hard work on these questions as they cover all updated Google LookML-Developer exam topics included in the official syllabus. Besides studying actual questions, you should take the Google LookML-Developer practice test for self-assessment and actual exam simulation. Revise actual exam questions and remove your mistakes with the Looker LookML Developer LookML-Developer exam practice test. Online and Windows-based formats of the LookML-Developer exam practice test are available for self-assessment.

Limited Time Offer

50%

Off

Get Premium LookML-Developer Questions as Interactive Practice Test or PDF

LookML-Developer Valid Dumps | Google Cloud Certified Exam Questions

LookML-Developer Exam Details

Google LookML-Developer Exam Details

Free LookML-Developer Questions

Free Google LookML-Developer Exam Questions