SKILL BENCHMARK
CompTIA Data+ Competency (Intermediate Level)
- 23m
- 23 questions
The CompTIA Data+ Competency (Intermediate Level) benchmark measures your knowledge of the relationship of data with modern database systems and data analytics tools and their various uses. You will be evaluated on your skills in recognizing the need for and methods of data acquisition, as well as cleansing and key data manipulation concepts. A learner who scores high on this benchmark demonstrates that they have a good understanding of data mining and the level of experience required for the CompTIA Data+ certification.
Topics covered
- compare and contrast the characteristics of multimedia data, including images, audio, and video
- describe the characteristics of HTML files
- describe the purposes of SAS and Tableau and the roles they play in data analytics
- describe the role and characteristics of extract, transform, load (ETL)
- describe the R programming language and its role in data analytics
- filter data in a dataset
- identify the purposes of Power BI and Qlik and the roles they play in data analytics
- identify the role and characteristics of extract, load, transform (ELT)
- implement date functions
- list various data integration tools and their uses
- outline best practices that can be employed when creating data science reports
- outline the characteristics of JSON files
- outline the characteristics of XML files
- outline the key aspects of data integration in data acquisition activities
- outline the purpose and role of Microsoft Excel as a tool for engaging in data analytics
- outline the purposes of IBM SPSS Modeler and IBM SPSS Statistics and the roles they play in data analytics
- outline various data integration techniques
- perform a delta load
- perform basic methods of data cleaning and analysis in Microsoft Excel
- provide an overview of typical data manipulation tools
- sort data in a dataset
- use aggregate functions with a dataset
- use logical functions with a dataset
