Introduction To Data Studio Certification Solutions
It’s important to manage data whenever anyone publishes it on Google’s platform via their website or another source. Management of data involves gathering insights about the data. Making changes in their data, the marketer and analyst will be able to create a positive, beneficial impact on their audience and achieve their goal.
Data Studio can help you meet the requirement. In that Data Studio, you can get all the reports you require. Marketers and analysts have problems using this Data Studio, which is why Google Analytics Academy has designed a new course to help them learn and gain expertise in the Data Studio. – Introduction to Data Studio Certification Course.
About Introduction to Data Studio Certification Course
In this course, you will learn about using Data Studio effectively for your analysis purpose and capturing the data you need. This course contains the following:-
Working of Data Studio
Overview regarding the Data Studio Homepage.
Teaches you to connect your data and create a report in the studio.
Helps you in the analysis of your reports.
Basics of visualization of data.
After studying all the videos, you have to appear for an MCQ based test generated by the Analytics Academy. This test will help you achieve a certificate which will further prove your efficiency in curating the data and using Data Studio.
Motive of Providing Introduction to Data Studio Certification Exam Solutions
Regardless of which field you are in, practice is always said to be crucial to success. Providing you with the latest questions asked in the exam and their solutions can help you prepare for the certification exam.
You can reach us via email if you face any difficulties during your practice session. Best of luck on your exam.
Number of questions provided – 35
- What are the benefits of using Data Studio?
- Which are examples of data sets?
- Once you’ve connected your data in Data Studio, how often do you need to manually provide your data set credentials again?
- Which types of components can be included in a report?
- Which term refers to the underlying data that can be connected to Data Studio?
- Which access permission would you provide to a coworker to collaborate with them on a report?
- To share your report via a public link and allow all viewers to see chart data, which data source setting would you choose?
- What is the order in which data flows into Data Studio charts?
- If you upload data from a CSV file to create a data set in Google Cloud, how can you update that data set in the future?
- Which feature helps you create a new report quickly?
- Which actions can you take on the Data Studio Home page?
- Which is the best tool to quickly visualize data that answers a specific question without saving or sharing it?
- What can you do with the Explorer tool?
- What can you do with calculated fields?
- What can an individual viewing a report do?
- What is the benefit of using the Theme tab?
- Which components must get their data from a data source?
- In which ways can you change an existing field?
- What must the data source owner do to allow report editors to modify data fields?
- Which setting makes your report larger?
- What is the purpose of extracting data?
- What does the “refresh fields” button in the data source do?
- What is unique about a report-level component, compared to a page-level component?
- What is one benefit of using blended data?
- What does a filter control allow viewers to do?
- What do the Theme tab settings affect?
- What can a single filter control affect?
- What is required for a single chart to reference data from two different data sources?
- Which sharing option always requires recipients to log in with their Google account?
- What is the purpose of creating a thumbnail image of your report?
- Which reflects a best practice for designing your report?
- How can you use any Data Studio report as a template?
- What is the purpose of a bullet chart?
- What is the purpose of templates?
- What is the purpose of a scatter plot?