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Customizable Exam Questions for Improved Success in CompTIA DA0-001 Certification Exam

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CompTIA Data+ Certification Exam Sample Questions (Q68-Q73):

NEW QUESTION # 68
A data analyst is performing a data merge within a spreadsheet using the tables below:
https://www.bing.com/images/blob?bcid=S1XCF9p02M4GjpbGxHj0lrIaj9sw.....4c

The analyst is attempting to pull the addresses from Table 2 into Table 1 using the last names and is receiving an error message. Which of the following steps can the analyst perform to fix the error?

A. Sort the data by the last name field.
B. Ensure the formula is pulling from right to left.
C. Review the spelling and data type.
D. Use concatenate to combine the tables.

Answer: C

Explanation:
The error in merging data from Table 2 into Table 1 using last names could be due to discrepancies in spelling or data type between the two tables. It is essential to ensure that the last names are spelled consistently and that the data types are compatible for a successful merge. Option D suggests reviewing these aspects, which can potentially resolve the error, ensuring that each last name in Table 1 accurately corresponds to the same last name in Table 2, allowing for a successful data pull of addresses.
References: This answer is based on general data analytics practices and does not reference a specific document.

NEW QUESTION # 69
A financial institution is reporting on sales performance to a company at the account level. Due to the sensitive nature of the government the does il with, some account information is not shown. Which of the following fields should be masked?

A. Product name
B. Sales volume
C. Customer name
D. Start date

Answer: C

Explanation:
Explanation
Customer name is the field that should be masked, because it contains sensitive information that could identify the government accounts that the financial institution deals with. Masking is a technique that replaces or obscures sensitive data with dummy or random data, such as asterisks or hashes. Masking can help protect the privacy and security of the data, while still allowing for some analysis and reporting. Therefore, the correct answer is D. References: [Data Masking | Definition, Techniques & Examples - Talend], [Data masking - Wikipedia]

NEW QUESTION # 70
A database consists of one fact table that is composed of multiple dimensions. Depending on the dimension, each one can be represented by a denormalized table or multiple normalized tables. This structure is an example of a:

A. non-relational schema.
B. snowflake schema.
C. star schema.
D. transactional schema.

Answer: C

NEW QUESTION # 71
Each month an analyst needs to execute a data pull for the two prior months. Which of the following is the most efficient function for the analyst to use?

A. Aggregate
B. Logical
C. System
D. Date

Answer: D

Explanation:
The most efficient function for an analyst to execute a data pull for the two prior months would be the Date function. This function allows for the manipulation and formatting of date values within a database. Using Date functions, an analyst can dynamically calculate the start and end dates for the previous two months, ensuring that the data pull is accurate and automated without manual intervention.
For example, SQL functions like DATEADD and DATEDIFF can be used to determine the exact range of dates needed for the data pull. These functions can calculate the first and last day of the previous months relative to the current date, which is essential for monthly reporting and analysis.
Reference:
Discussions on Stack Overflow suggest using SQL date functions like DATEADD and DATEDIFF to dynamically extract data for previous months, which supports the use of Date functions12.
The use of Date functions is also recommended for ensuring that the data pull is not only efficient but also accurate, as it avoids potential errors associated with manual date entry3.

NEW QUESTION # 72
Which one of the following values would not be appropriately stored in integer data type?

A. 1.2
B. 0
C. 1
D. 2

Answer: A

NEW QUESTION # 73
......

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