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CompTIA DA0-001, also known as the CompTIA Data+ Certification, is a vendor-neutral certification exam that is designed to test the knowledge and skills of individuals working in the field of data management. CompTIA Data+ Certification Exam certification validates the ability of professionals to collect, analyze, and interpret large sets of data and make informed decisions based on the analysis. DA0-001 Exam covers a wide range of topics including data storage, data quality, data visualization, data governance, and data security. It is an ideal certification for individuals who are interested in pursuing a career in data analysis or data management.

CompTIA Data+ Certification Exam Sample Questions (Q303-Q308):

NEW QUESTION # 303
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?

A. Sun.
B. Star.
C. Comet.
D. Snowflake.

Answer: D

Explanation:
Explanation
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.

NEW QUESTION # 304
Which of the following descriptive statistical methods are measures of central tendency? (Choose two.)

A. Maximum
B. Mode
C. Mean
D. Correlation
E. Minimum
F. Variance

Answer: B,C

NEW QUESTION # 305
A user imports a data file into the accounts payable system each day. On a regular basis. the field input is not what the system is expecting. so it results in an error for the row and a broken import process. To resolve the issue, the user opens the file, finds the error in the row, and manually corrects it before attempting the import again. The import sometimes breaks on subsequent attempts. though. Which of the following changes should be made to this process to reduce the number of errors?

A. Spot-check the file prior to import to catch and correct field errors.
B. Delete all incorrect inputs and upload the corrected file.
C. Have the user manually review the file for data completeness before loading it
D. Create a data field to data type validator to run the file through prior to import.

Answer: D

Explanation:
A data field to data type validator is a tool or a process that checks if the data in each field of a file matches the expected data type, such as text, number, date, etc. A data field to data type validator can help to identify and correct any errors or inconsistencies in the data before importing it into the accounts payable system. This would reduce the number of errors and broken imports, as well as save time and effort for the user.

NEW QUESTION # 306
A client has requested an analysis of all pet care items purchased by current customers and their social media connections in the past 12 months. Which of the following data analysis techniques would be the best choice given these requirements?

A. Trend analysis
B. Performance analysis
C. Link analysis
D. Exploratory data analysis

Answer: C

NEW QUESTION # 307
Five dogs have the following heights in millimeters:
300, 430, 170, 470, 600
Which of the following is the mean height for the five dogs?

A. 504mm
B. 405mm
C. 394mm
D. 493mm

Answer: C

Explanation:
Explanation
The mean height for the five dogs is calculated by adding up all the heights and dividing by the number of dogs. The formula is:
mean = (300 + 430 + 170 + 470 + 600) / 5 mean = 1970 / 5 mean = 394
Therefore, option A is correct.
Option B is incorrect because it is the median height, which is the middle value when the heights are arranged in ascending order.
Option C is incorrect because it is the mean height multiplied by 1.25.
Option D is incorrect because it is the mean height multiplied by 1.28.

NEW QUESTION # 308
......

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