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CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is a highly sought-after certification for professionals in the field of data management. DA0-001 Exam is designed to test the candidate's knowledge and skills in managing and protecting data, ensuring its accuracy and reliability, and making it accessible to authorized users.

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CompTIA Data+ Certification Exam Sample Questions (Q139-Q144):

NEW QUESTION # 139
When analyzing the values of two variables, you decide to convert both variables so they are on a scale of 0 to
1.
What term describes this action?

A. Filtering.
B. Normalization.
C. Aggregation.
D. Transposition.

Answer: B

Explanation:
Normalization is the process of reorganizing data in a database so that it meets two basic requirements: There is no redundancy of data, all data is stored in only one place. Data dependencies are logical, all related data items are stored together.
Put simply, data normalization ensures that your data looks, reads, and can be utilized the same way across all of the records in your customer database. This is done by standardizing the formats of specific fields and records within your customer database.

NEW QUESTION # 140
A data analyst has been asked to create a sales report that calculates the rolling 12-month average for sales. If the report will be published on November 1, 2020, which of the following months shouts the report cover?

A. October 1, 2019 to October 31, 2020
B. November 1, 2019 to October 31, 2020
C. October 31, 2019 to October 31, 2020
D. October 31, 2020 to November 1, 2021

Answer: A

Explanation:
The report should cover the months from October 1, 2019 to October 31, 2020. A rolling 12-month average is a type of moving average that calculates the average of the last 12 months of data for each month. It is useful for smoothing out seasonal fluctuations and identifying long-term trends in the data. To calculate the rolling
12-month average for sales for November 1, 2020, the analyst needs to use the sales data from the previous 12 months, starting from November 1, 2019 and ending on October 31, 2020. The other options are either too short or too long to cover the required period.

NEW QUESTION # 141
An analyst for a small business with multiple locations is using each location's quarterly sales reports from last year to create a single revenue report for the year. Which of the following data mining techniques should the analyst use to complete this task?

A. Data append
B. Data blending
C. Data merge
D. Data imputation

Answer: C

Explanation:
To compile a comprehensive annual revenue report from multiple quarterly sales reports, the analyst should integrate the datasets appropriately:
* Data Merge: This technique involves combining datasets based on common fields or keys. In this scenario, merging would align data from different quarters based on shared attributes, such as location identifiers, to create a unified dataset.
* Data Append: Appending adds datasets sequentially, stacking them on top of each other. While this could combine the reports, it doesn't ensure integration based on common fields, which is necessary for accurate analysis.
* Data Blending: Blending combines data from different sources or formats. If the quarterly reports are in varied formats or from different systems, blending would be appropriate. However, if they share the same structure, blending isn't necessary.
* Data Imputation: Imputation addresses missing or incomplete data by filling in gaps. This technique isn't relevant to combining complete quarterly reports.
Therefore, merging the data ensures that all quarterly reports are integrated based on common fields, providing a cohesive annual revenue report.
Reference: CompTIA Data+ Certification Exam Objectives (DA0-001), Domain 2.2: Manipulate data.

NEW QUESTION # 142
A data analyst for a media company needs to determine the most popular movie genre. Given the table below:

Which of the following must be done to the Genre column before this task can be completed?

A. Merge
B. Delimit
C. Append
D. Concatenate

Answer: B

Explanation:
The action that must be done to the Genre column before this task can be completed is delimit. Delimit is a process of separating or splitting a string of text into multiple parts based on a delimiter, which is a character or a sequence of characters that marks the boundary between the parts. For example, a comma (,) or a semicolon (;) can be used as a delimiter. In this case, the Genre column contains multiple genres for each movie, separated by commas. To determine the most popular movie genre, the data analyst needs to delimit the Genre column by commas, so that each genre can be counted and compared separately. The other options are not relevant for this task, as they are related to combining or joining strings or tables, not separating them. Append is a process of adding or attaching one string or table to the end of another string or table. Merge is a process of combining or joining two or more tables into one table based on a common column or key. Concatenate is a process of joining or linking two or more strings together into one string. Reference: [How to Split Text in Excel - Exceljet]

NEW QUESTION # 143
Which of the following types of data manipulation functions should a data analyst use to implement a YES
/NO condition in a spreadsheet?

A. Logical
B. Text
C. Statistical
D. Financial

Answer: A

Explanation:
Logical functions are used in spreadsheets to create conditions that return YES/NO or TRUE/FALSE results.
These functions include IF, AND, OR, NOT, etc., which are specifically designed for decision-making processes in data analysis. For example, the IF function in Excel evaluates a condition and returns one value if TRUE and another if FALSE, perfectly implementing YES/NO logic.
CompTIA Data+ Reference:
CompTIA Data+ Study Guide (Exam DA0-001), Chapter 4: Data Manipulation and Analysis, Section "Data Manipulation Functions - Logical", Official CompTIA CertMaster Learn for Data+, Module 4.3 "Logical Functions in Spreadsheets".

NEW QUESTION # 144
......

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