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CompTIA DA0-001 Exam Syllabus Topics:

Topic	Details
Topic 1	Compare and contrast different data types Identify basic concepts of data schemas and dimensions
Topic 2	Given a scenario, translate business requirements to form a report Compare and contrast types of reports
Topic 3	Identify common data analytics tools Explain the purpose of inferential statistical methods
Topic 4	Application programming interfaces (APIs) Determine data needs and sources to perform analysis
Topic 5	Data Concepts and Environments Compare and contrast common data structures and file formats
Topic 6	Use of descriptive statistics to determine observations Given a scenario, apply data quality control concepts
Topic 7	Given a scenario, apply the appropriate type of visualization Given a scenario, use appropriate methods for dashboard development
Topic 8	Summarize types of analysis and key analysis techniques Application programming interface (API) web services
Topic 9	Given a scenario, apply the appropriate descriptive statistical methods Summarize important data governance concepts
Topic 10	Explain common techniques for data manipulation and query optimization Identify common reasons for cleansing and profiling datasets
Topic 11	Given a scenario, execute data manipulation techniques Explain data acquisition concepts

The CompTIA DA0-001 exam is a certification exam designed to test an individual's knowledge of data management and analysis. This exam is intended for professionals who are seeking to validate their understanding of data storage, processing, and analysis in order to advance their careers in the field of data management.

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CompTIA Data+ Certification Exam Sample Questions (Q21-Q26):

NEW QUESTION # 21
When taking the test at home, how much extra time is allowed compared to the in-person test?

A. None.
B. 15 minutes
C. 30 minutes
D. 10 minutes

Answer: A

NEW QUESTION # 22
Samantha needs to share a list of her organization's top 50 customers with the VP of sales.
She would like to include the name of the customer, the business they represent, their contact information, and their total sales over the past year.
The VP does not have any specialized analytics skills or software but would like to make some personal notes on the dataset.
What would be the best tool for Samantha to use to share this information?

A. SAS.
B. Microsoft Excel.
C. Power BI.
D. Minitab.

Answer: B

Explanation:
Microsoft Excel.
This scenario presents a very simple use case where the business leader needs a dataset in an easy-to-access form and will not be performing any detailed analysis.
A simple spreadsheet, such as Microsoft Excel, would be the best tool for this job.
There is no need to use a statistical analysis package, such as SAS or Minitab, as this would likely confuse the VP without adding any value. The same is true of an integrated analytics suite, such as Power BI.

NEW QUESTION # 23
Data stewards protect the organization from legal violations that may result in costly fines and negative publicity.

A. True.
B. False.

Answer: A

NEW QUESTION # 24
An analyst runs a report on a daily basis, and the number of datapoints must be validated before the data can be analyzed. The number of datapoints increases each day by approximately 20% of the total number from the day before. On a given day, the number of datapoints was 8,798. Which of the following should be the total number of datapoints on the next day?

A. 10,800
B. 10,600
C. 9,600
D. 7,038

Answer: D

NEW QUESTION # 25
Consider the following dataset which contains information about houses that are for sale:

Which of the following string manipulation commands will combine the address and region name columns to create a full address?
full_address------------------------- 85 Turner St, Northern Metropolitan 25 Bloomburg St, Northern Metropolitan 5 Charles St, Northern Metropolitan 40 Federation La, Northern Metropolitan 55a Park St, Northern Metropolitan

A. SELECT CONCAT(regionname, '-' , address) AS full_address FROM melb LIMIT 5;
B. SELECT CONCAT(address, '-' , regionname) AS full_address FROM melb LIMIT 5;
C. SELECT CONCAT(address, ' , ' , regionname) AS full_address FROM melb LIMIT 5;
D. SELECT CONCAT(regionname, ' , ' , address) AS full_address FROM melb LIMIT 5

Answer: C

Explanation:
The correct answer is A: SELECT CONCAT(address, ' , ' , regionname) AS full_address FROM melb LIMIT 5; String manipulation (or string handling) is the process of changing, parsing, splicing, pasting, or analyzing strings. SQL is used for managing data in a relational database. The CONCAT() function adds two or more strings together. Syntax CONCAT(stringl, string2,... string_n) Parameter Values Parameter Description stringl, string2, string_n Required. The strings to add together.

NEW QUESTION # 26
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