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[General] CompTIA DA0-001 Test Score Report & Testking DA0-001 Exam Questions

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【General】 CompTIA DA0-001 Test Score Report & Testking DA0-001 Exam Questions

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CompTIA DA0-001 exam is a multiple-choice test, and it comprises of roughly 90 questions. Candidates for DA0-001 exam must have a strong understanding of various data management concepts, including data entry, data analysis, data warehousing, and data mining. DA0-001 Exam is designed explicitly to test the candidate's knowledge and skills, and it emphasizes real-world scenarios to test their capabilities.
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CompTIA Data+ Certification Exam Sample Questions (Q181-Q186):NEW QUESTION # 181
Which of the following is the correct data type for text?
  • A. Integer
  • B. String
  • C. Float
  • D. Boolean
Answer: B
Explanation:
The correct data type for text is string. A string is a data type that represents a sequence of characters, such as letters, numbers, symbols, or spaces. A string can be enclosed by single quotes (' ') or double quotes (" ") in most programming languages. For example, 'Hello', "World", and "123" are all strings. The other options are not data types for text, but for other kinds of values. A boolean is a data type that represents a logical value, either true or false. An integer is a data type that represents a whole number, such as 1, 0, or -5. A float is a data type that represents a number with a fractional part, such as 3.14, 0.5, or -2.7. Reference: Data Types - W3Schools

NEW QUESTION # 182
Which of the following is concatenate typically used to combine?
  • A. Rows
  • B. Tables
  • C. Databases
  • D. Columns
Answer: D
Explanation:
Concatenation is primarily used to combine columns of data. It is a function commonly used in data manipulation to merge strings or numerical values from two or more columns into a single column. This is especially useful in data cleaning and transformation tasks where information from multiple fields needs to be represented together in a single field, such as merging first names and last names into a full name.
Reference: CompTIA Data+ DA0-001 Official Guide

NEW QUESTION # 183
Angela is aggregating data from CRM system with data from an employee system.
While performing an initial quality check, she realizes that her employee ID is not associated with her identifier in the CRM system.
What kind of issues is Angela facing?
Choose the best answer.
  • A. System integration.
  • B. Record linkage.
  • C. ETL process.
  • D. ELT process.
Answer: B
Explanation:
While this scenario describes a system integration challenge that can be solved with ETL or ELT, Angela is facing a Record linkage issue.

NEW QUESTION # 184
An analyst has received the requirements for an internal user dashboard. The analyst confirms the data sources and then creates a wireframe. Which of the following is the NEXT step the analyst should take in the dashboard creation process?
  • A. Deploy to production.
  • B. Optimize the dashboard.
  • C. Get stakeholder approval.
  • D. Create subscriptions.
Answer: C

NEW QUESTION # 185
A data analyst needs to create a master file that includes customer information from the tables below:

Given the three tables above, the analyst wants to filter down the information prior to joining it together. In which of the following orders should this data manipulation bo approached for the most efficient result?
  • A. Merge, append, deduplicate
  • B. Deduplicate, append, merge
  • C. Append, deduplicate, merge
  • D. Merge, deduplicate, append
Answer: D
Explanation:
For efficient data manipulation, the ideal order would be to first merge related tables to create a comprehensive set of records, then deduplicate to remove any redundant information. Lastly, appending additional data, such as from another source or table, ensures that all relevant data is included without redundancy before the final analysis. This order prevents unnecessary duplication of effort, such as deduplicating both before and after appending, which would be less efficient.
In the context of the tables provided, merging would likely involve combining customer information from the online and in-store transaction tables with the customer table. Deduplication would remove any redundant customer records that may exist across these tables. Finally, appending would involve adding any additional transaction records to the master file, ensuring a complete dataset for analysis.

NEW QUESTION # 186
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