Google LookML-Developer - Study Material - Looker LookML Developer Exam

The Google LookML-Developer exam is designed to test a candidate's knowledge and skills in LookML, a tool for creating and managing SQL models. The exam covers topics such as data modeling, query optimization, data visualization, and more.

The duration of the Google LookML Developer Exam is 2 hours.

There is no set number of questions in the Google LookML-Developer exam. The exam is designed to assess a candidate's knowledge and ability to design, develop, and deploy LookML projects. The questions will vary depending on the candidate's experience level and the particular project.

Google does not currently offer a LookML-Developer certification.

The Google LookML Developer Certification Exam requires a minimum competency level of intermediate.

The Google LookML-Developer Exam consists of multiple choice and multiple select questions.

Google offers the LookML-Developer exam online and in testing centers. To take the exam online, you must first register for the exam on the Google Cloud Platform (GCP) website. Once you have registered, you will receive an email with instructions on how to access the exam. To take the exam in a testing center, you must first find a testing center near you and contact them to schedule an appointment. Once you have scheduled an appointment, you will be given instructions on how to access the exam.

Google LookML-Developer Exam is offered in English.

The cost of the Google LookML Developer Exam is currently $150 USD.

The target audience of the Google LookML-Developer Exam is software developers and data analysts who are experienced in writing LookML code and working with LookML-based data models.

The average salary of Looker LookML Developer certified professionals varies widely by role, region, and experience, because it depends on the job the certification is combined with. Check current listings in your market for an up-to-date figure.

Google does not offer an official exam for LookML-Developer certification. However, there are several third-party companies that offer practice tests to help you prepare for the exam. Some of these companies include Pluralsight, Udemy, and ExamTopics.

The recommended experience for the Google LookML-Developer Exam is at least one year of experience developing LookML models, including experience with the LookML language, the Looker IDE, and the Looker API. Additionally, experience with data modeling, data warehousing, and SQL is recommended.

The Prerequisite for Google LookML-Developer Exam is that the candidate must have experience developing LookML models, be familiar with Looker’s features and functions, and have a working knowledge of SQL and data modeling.

The expected retirement date of the Google LookML Developer exam is currently not available on any official website. However, you can contact the Google Cloud Platform Support team to inquire about the exam's retirement date.

The difficulty level of the Google LookML-Developer exam is medium.

1. Complete the LookML Developer Training Course: The LookML Developer Training Course is a free online course that covers the fundamentals of LookML and provides an introduction to the LookML language. 2. Take the LookML Developer Exam: The LookML Developer Exam is a multiple-choice exam that tests your knowledge of LookML. It is available online and can be taken at any time. 3. Become a Certified LookML Developer: After successfully completing the LookML Developer Exam, you will be certified as a LookML Developer and will receive a certificate of completion.

The Google LookML-Developer exam covers a variety of topics related to the LookML language, which is used to create data models and explore data in Looker. The topics are as follows: 1. LookML Syntax and Structure: This topic covers the basic syntax and structure of LookML, including the use of variables, parameterization, and conditionals. 2. Data Modeling: This topic covers the fundamentals of data modeling, including the design of tables, fields, and joins. 3. LookML Dashboards: This topic covers the creation of dashboards and charts in LookML, including the use of measures, dimensions, and filters. 4. Access Control: This topic covers the use of roles and access control in LookML, including the use of permissions and security rules. 5. LookML Best Practices: This topic covers best practices for writing LookML, including the use of naming conventions and coding conventions.

1. What is LookML and what are its main components? 2. How do you define a dimension in LookML? 3. What is the purpose of the explore keyword in LookML? 4. What is the difference between a view and a derived table in LookML? 5. Describe the process of creating a custom measure in LookML. 6. How do you create a parameter in LookML? 7. What are the different types of joins available in LookML? 8. How do you debug a LookML query? 9. What are the best practices for using LookML? 10. Describe the process of creating a dashboard in Looker using LookML.