Free Preparation Discussions
MENU
CompTIA DA0-001 Exam
- Topic 1: Data Concepts and Environments/ Compare and contrast common data structures and file formats
- Topic 2: Compare and contrast different data types/ Identify basic concepts of data schemas and dimensions
- Topic 3: Explain common techniques for data manipulation and query optimization/ Identify common reasons for cleansing and profiling datasets
- Topic 4: Identify common data analytics tools/ Explain the purpose of inferential statistical methods
- Topic 5: Explain master data management (MDM) concepts/ Data Governance, Quality, and Controls
- Topic 6: Given a scenario, execute data manipulation techniques/ Explain data acquisition concepts
- Topic 7: Given a scenario, apply the appropriate type of visualization/ Given a scenario, use appropriate methods for dashboard development
- Topic 8: Given a scenario, apply the appropriate descriptive statistical methods/ Summarize important data governance concepts
- Topic 9: Given a scenario, translate business requirements to form a report/ Compare and contrast types of reports
- Topic 10: Summarize types of analysis and key analysis techniques/ Application programming interface (API)/web services
- Topic 11: Application programming interfaces (APIs)/ Determine data needs and sources to perform analysis
- Topic 12: Use of descriptive statistics to determine observations/ Given a scenario, apply data quality control concepts
Free CompTIA DA0-001 Exam Actual Questions
The questions for DA0-001 were last updated On May. 25, 2023
Emma is working in a data warehouse and finds a finance fact table links to an organization dimension, which in turn links to a currency dimension that not linked to the fact table.
What type of design pattern is the data warehouse using?
Correct answer C. Snowflake.
Since the dimension links to a dimension that isn't connected to the fact table, it must be a Snowflake, with a Star, all dimensions link directly to the fact table, Sun and Comet are not data warehouse design patterns.
A recurring event is being stored in two databases that are housed in different geographical locations. A data analyst notices the event is being logged three hours earlier in one database than in the other database. Which of the following is the MOST likely cause of the issue?
Which of the following are reasons to create and maintain a data dictionary? (Choose two.)
A recurring event is being stored in two databases that are housed in different geographical locations. A data analyst notices the event is being logged three hours earlier in one database than in the other database. Which of the following is the MOST likely cause of the issue?
You are working with a dataset and want to change the names of categories that you used for different types of books.
What term best describes this action?
- Select Question Types you want
- Set your Desired Pass Percentage
- Allocate Time (Hours : Minutes)
- Create Multiple Practice tests with Limited Questions
- Customer Support
Submit Cancel