Course Overview
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Databricks Certified Data Analyst Associate training course from Whizlabs helps to validate the individual skills and knowledge on usage of the Databricks SQL service to carry out the introductory data analysis tasks.
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To achieve Databricks Certified Data Analyst Associate Certification Exam objective, we offer study resources like practice tests and it really helps to get familiar with exam concepts.
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After getting the Databricks Certified Data Analyst Associate Certification, you may try out for job roles such as Data Analysts, Data Engineers and Business Analyst.
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By the end of this course, the candidate will be able to acquire the skills and knowledge to become a Data Analyst Associate.
Key features - Databricks Certified Data Analyst Associate Exam
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2 Full-Length Mock Exams (90+ Unique Questions)
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Unlimited Access for 2 years
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24x7 Support from our Subject Matter Experts
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Elaborate explanations in each answer
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Full Coverage of all exam objectives
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Auto-updates to course content
What skills will I gain from Databricks Certified Data Analyst Associate Exam?
By taking Databricks Certified Data Analyst Associate Exam, the individual can be able to possess the following skills and knowledge:
Databricks SQL (22%): It covers topics such as Databricks SQL and its capabilities such as:
- Databricks SQL (users, benefits, queries, dashboards, compute)
- Integrations (Partner Connect, data ingestion, other BI tools)
- Lakehouse (medallion architecture, streaming data)
Data Management (20%): This section covers the information on how to manage data with Databricks tools and best practices such as:
- Delta Lake (basics, benefits)
- Storage and Management (tables, databases, views, Data Explorer)
- Security (table ownership, PII data)
SQL (29%): This part delivers the detailed information on how to use Structured Query Language (SQL) to complete tasks in the Lake House such as:
- Basic SQL (basic query structure, combining data, aggregations)
- Complex Data (nested data objects, roll-ups, windows, cubes)
- SQL in the Lake House (ANSI SQL, working with silver-level data, query history, higher-order functions, user-defined functions)
Data Visualization and Dashboards(18%): In this section, you will be questioned on how to create production-grade data visualizations and dashboards such as:
- Visualization (Databricks SQL capabilities, types of visualizations, storytelling with data)
- Dashboarding (Databricks SQL capabilities, parameterized dashboards and queries, sharing)
- Production (refresh schedules, query alerts)
Analytics Applications (11%): In this domain, you can get questions from topics such as how to develop analytics applications to solve common data analytics problems such as:
- Descriptive Statistics (discrete statistics, summary statistics)
- Common Applications (data enhancement, data blending, last-mile ETL)
What are the prerequisites for Databricks Certified Data Analyst Associate Exam?
The prerequisites required for taking Databricks Certified Data Analyst Associate Exam such as:
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The candidate must have working knowledge of SQL
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Must be familiar with ANSI SQL standards
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Must have working experience as a data or IT professional
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Must have experience using SQL to query data from enterprise data stores
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Familiarity with basic cloud concepts such as virtual machines, object storage, identity management
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Completion of the Databricks Lakehouse Fundamentals Accreditation is recommended
Who should attempt the Databricks Certified Data Analyst Associate Exam?
The Databricks Certified Data Analyst Associate Exam mainly focuses on the people who wants to enhance their skills and knowledge in data analysis tasks. And it also targets the following roles such as:
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Data Analysts
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Data Engineers
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Business Analyst
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ML Data scientists
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Data Engineers
What you'll learn in the Databricks Certified Data Analyst Associate Exam?
The Databricks Certified Data Analyst Associate Exam makes sure you understand with the following topics:
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Databricks SQL service and its capabilities
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Management of data with Databricks tools bu following best practices
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Usage of SQL to complete data tasks in the Lakehouse
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Creation of production-grade data visualizations and dashboards
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Development of analytics applications to solve common data analytics problems
Included in this course
- Practice Tests3 Quizzes Available
Exam Format and Information
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