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[General] Free PDF 2026 High Pass-Rate CompTIA DA0-001: CompTIA Data+ Certification Exam R

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【General】 Free PDF 2026 High Pass-Rate CompTIA DA0-001: CompTIA Data+ Certification Exam R

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CompTIA Data+ certification exam covers a wide range of topics related to data management, including data collection, processing, analysis, visualization, and interpretation. It also covers data governance, security, and privacy issues, as well as data storage technologies and tools. DA0-001 exam is designed to test candidates' ability to work with different types of data, such as structured, unstructured, and semi-structured data, using a variety of tools and techniques.
CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is a vendor-neutral certification exam designed to validate the skills and knowledge of a data professional. DA0-001 Exam is ideal for individuals who are looking to establish a career in the field of data analytics, management, and processing. It is also suitable for those who are already working in the industry and want to enhance their skills and knowledge.
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CompTIA Data+ Certification Exam Sample Questions (Q156-Q161):NEW QUESTION # 156
Which of the following would be considered non-personally identifiable information?
  • A. Telephone number
  • B. Government ID number
  • C. Cell phone device name
  • D. Customer's name
Answer: C
Explanation:
Non-personally identifiable information (non-PII) is any data that cannot be used to identify, contact, or locate a specific individual, either alone or combined with other sources. Non-PII can include aggregated statistics, anonymous data, device identifiers, IP addresses, cookies, and other types of information that do not reveal the identity or location of a person. Cell phone device name is an example of non-PII, as it does not reveal any personal information about the owner or user of the device. Therefore, the correct answer is A. References:
What is Non-Personally Identifiable Information (Non-PII)? | Definition and Examples, What is Personally Identifiable Information (PII)? | Definition and Examples

NEW QUESTION # 157
A data analyst must separate the column shown below into multiple columns for each component of the name:

Which of the following data manipulation techniques should the analyst perform?
  • A. Parsing
  • B. Imputing
  • C. Concatenating
  • D. Transposing
Answer: A
Explanation:
Parsing is the data manipulation technique that should be used to separate the column into multiple columns for each component of the name. Parsing is the process of breaking down a string of text into smaller units, such as words, symbols, or numbers. Parsing can be used to extract specific information from a text column, such as names, addresses, phone numbers, etc. Parsing can also be used to split a text column into multiple columns based on a delimiter, such as a comma, space, or dash1. In this case, the analyst can use parsing to split the column by the comma delimiter and create three new columns: one for the last name, one for the first name, and one for the middle initial. This will make the data more organized and easier to analyze.

NEW QUESTION # 158
A data analyst is creating a report that will provide information about various regions, products, and time periods. Which of the following formats would be the MOST efficient way to deliver this report?
  • A. A workbook with multiple tabs for each region
  • B. A daily email with snapshots of regional summaries
  • C. A dashboard with filters at the top that the user can toggle
  • D. A static report with a different page for every filtered view
Answer: C
Explanation:
Explanation
A dashboard with filters at the top that the user can toggle would be the most efficient way to deliver this report, because it allows the user to customize the view and explore different combinations of regions, products, and time periods. A workbook with multiple tabs for each region would be cumbersome and repetitive. A daily email with snapshots of regional summaries would not provide enough detail or interactivity. A static report with a different page for every filtered view would be too long and hard to navigate. References: CompTIA Data+ Certification Exam Objectives, page 14

NEW QUESTION # 159
Which of the following data sampling methods involves dividing a population into subgroups by similar characteristics?
  • A. Convenience
  • B. Stratified
  • C. Simple random
  • D. Systematic
Answer: B

NEW QUESTION # 160
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?
  • A. The databases are recording different events.
  • B. The second database is logging incorrectly.
  • C. The data analyst is not querying the databases correctly.
  • D. The databases are recording the event in different time zones.
Answer: D
Explanation:
Explanation
The most likely cause of the issue is that the databases are recording the event in different time zones. A time zone is a region that observes a uniform standard time for legal, commercial, and social purposes. Different time zones have different offsets from Coordinated Universal Time (UTC), which is the primary time standard by which the world regulates clocks and time. For example, UTC-5 is five hours behind UTC, while UTC+3 is three hours ahead of UTC. If an event is being stored in two databases that are housed in different geographical locations with different time zones, it may appear that the event is being logged at different times, depending on how the databases handle the time zone conversion. For example, if one database records the event in UTC-5 and another database records the event in UTC+3, then an event that occurs at 12:00 PM in UTC-5 will appear as 9:00 AM in UTC+3. The other options are not likely causes of the issue, as they are either unrelated or implausible. The data analyst is not querying the databases incorrectly, as this would not affect the time stamps of the events. The databases are not recording different events, as they are supposed to record the same recurring event. The second database is not logging incorrectly, as there is no evidence or reason to assume that. Reference: [Time zone - Wikipedia]

NEW QUESTION # 161
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