Desktop-Based DA0-001 Practice Exam Software - Mimics the Real CompTIA Exam Environment

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In order to pass the CompTIA DA0-001 exam, individuals need to have a good understanding of data management and analysis concepts, as well as practical skills in manipulating, analyzing, and visualizing data. DA0-001 exam consists of 80 multiple-choice questions and has a time limit of 90 minutes. Passing the exam requires a score of 700 or higher, on a scale of 100-900. Overall, the CompTIA DA0-001 Exam is an excellent certification for individuals who want to demonstrate their expertise in data management and analysis, and it can help them advance their careers in this field.

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DA0-001 Original Questions | Test DA0-001 Pdf

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CompTIA DA0-001 exam is a multiple-choice exam that consists of 90 questions. DA0-001 exam duration is 90 minutes, and the passing score is 720 on a scale of 100-900. DA0-001 exam is available in English, Japanese, and Portuguese. DA0-001 Exam Fees vary by location, and candidates can register for the exam through the Pearson VUE website.

CompTIA Data+ Certification Exam Sample Questions (Q152-Q157):

NEW QUESTION # 152
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 # 153
A company's marketing department wants to do a promotional campaign next month. A data analyst on the team has been asked to perform customer segmentation, looking at how recently a customer bought product, at what frequency, and at what value. Which of the following types of analysis would this practice be considered?

A. Prescriptive
B. Trend
C. Gap
D. Custer

Answer: D

NEW QUESTION # 154
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. Imputing
B. Concatenating
C. Parsing
D. Transposing

Answer: C

Explanation:
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 # 155
You are working with a professional statistician to perform an analysis and would like to use a statistics package.
Which one of the following would be the most appropriate?

A. Power BI.
B. QLIK.
C. Minitab.
D. Rapid Miner.

Answer: C

Explanation:
Minitab is statistical analysis software. It can be used for learning about statistics as well as statistical research. Statistical analysis computer applications have the advantage of being accurate, reliable, and generally faster than computing statistics and drawing graphs by hand.

NEW QUESTION # 156
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, deduplicate, append
B. Append, deduplicate, merge
C. Deduplicate, append, merge
D. Merge, append, deduplicate

Answer: A

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 # 157
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Desktop-Based DA0-001 Practice Exam Software - Mimics the Real CompTIA Exam Environment

DA0-001 Original Questions | Test DA0-001 Pdf

CompTIA Data+ Certification Exam Sample Questions (Q152-Q157):

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