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New DA0-001 Exam Camp & DA0-001 Valid Exam Cram
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CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is a certification aimed at IT professionals who work with data. DA0-001 exam is designed to test the candidate's knowledge and skills in data management, analysis, and security. CompTIA Data+ Certification Exam certification is vendor-neutral, meaning that it is not tied to any specific software or hardware platform, making it a valuable credential for professionals working in different industries.
To earn the CompTIA Data+ Certification, candidates must pass the DA0-001 Exam, which covers topics such as data storage, data backup and recovery, data security, data governance, and data analysis. CompTIA Data+ Certification Exam certification is ideal for professionals who are looking to advance their careers in data management or for those who are starting their careers in this field. With the growing importance of data management in today's businesses, the CompTIA Data+ Certification can help professionals stand out in the job market and demonstrate their expertise in managing data effectively.
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CompTIA Data+ Certification Exam Sample Questions (Q324-Q329):NEW QUESTION # 324
Which of the following data manipulation techniques is an example of a logical function?
- A. BOOLEAN
- B. IF
- C. WHERE
- D. AGGREGATE
Answer: B
Explanation:
This is because an IF function is a type of logical function that returns a value based on a condition or a set of conditions. An IF function can be used to manipulate data by applying different actions or calculations depending on whether the condition is true or false. For example, an IF function in Excel that can achieve this is:
=IF (condition, value_if_true, value_if_false)
The other data manipulation techniques are not examples of logical functions. Here is why:
* WHERE is a type of clause that filters data based on a condition or a set of conditions. A WHERE clause can be used to manipulate data by selecting only the rows that satisfy the condition(s). For example, a WHERE clause in SQL that can achieve this is:
* AGGREGATE is a type of function that performs a calculation on a group of values, such as sum, average, count, etc. An AGGREGATE function can be used to manipulate data by summarizing or aggregating the values in a column or a table. For example, an AGGREGATE function in SQL that can achieve this is:
* BOOLEAN is a type of data type that represents two possible values: true or false. A BOOLEAN data type can be used to manipulate data by storing or returning logical values based on a condition or a set of conditions. For example, a BOOLEAN data type in Python that can achieve this is:
NEW QUESTION # 325
Which of the following is the best description of the term "data governance"?
- A. Data governance is the process of analyzing, manipulating, and reporting data in an organization.
- B. Data governance is the availability, usability, integrity, and security of data in an enterprise.
- C. Data governance is the policy that protects against data breaches by cybercriminals.
- D. Data governance governs the development of a data visualization dashboard in an organization.
Answer: B
Explanation:
Data governance refers to the overarching management of data's availability, usability, integrity, and security within an organization. It involves setting policies and standards that govern data usage, determining data ownership, implementing data security measures, and ensuring that data is accessible for business insights while maintaining its quality. The goal of data governance is to ensure that data is consistent, trustworthy, and not misused, supporting compliance with data privacy regulations and enabling effective data analytics to optimize operations and drive business decision-making.
Reference:
Understanding Data Governance and Its Importance1.
The Role of Data Governance in Data Management2.
Defining Data Governance and Its Business Value3.
NEW QUESTION # 326
Which of the following is an example of a discrete data type?
- A. 8in (20cm)
- B. 10.7lbs (4.9kg)
- C. 5 kids
- D. 2.5mi (4km)
Answer: C
Explanation:
A discrete data type is a data type that can only take on a finite number of values, such as integers or categories. An example of a discrete data type is the number of kids, as it can only be a whole number. The other options are examples of continuous data types, as they can take on any value within a range. The length in inches or centimeters, the distance in miles or kilometers, and the weight in pounds or kilograms are all continuous data types. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy
NEW QUESTION # 327
Given the image below:
Which of the following file formats is depicted?
- A. CSV
- B. JSON
- C. HTML
- D. XML
Answer: B
Explanation:
The image depicts a snippet of code in the JSON format, which stands for JavaScript Object Notation. JSON is a lightweight data-interchange format that is easy for humans to read and write and easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language and is commonly used to transmit data in web applications.
* CSV, or Comma-Separated Values, is a simple file format used to store tabular data, such as a spreadsheet or database. It uses commas to separate values.
* XML, or eXtensible Markup Language, is a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable.
* HTML, or HyperText Markup Language, is the standard markup language for documents designed to be displayed in a web browser.
References:
* JSON.org - Introducing JSON1
* W3Schools - JSON Introduction2
* Mozilla Developer Network - JSON3
NEW QUESTION # 328
While reviewing survey data, an analyst notices respondents entered "Jan," "January," and "01" as responses for the month of January. Which of the following steps should be taken to ensure data consistency?
- A. Delete any of the responses that do not have "January" written out.
- B. Sort any of the responses that say "Jan" and update them to "01".
- C. Replace any of the responses that have "01".
- D. Filter on any of the responses that do not say "January" and update them to "January".
Answer: D
Explanation:
Filter on any of the responses that do not say "January" and update them to "January". This is because filtering and updating are data cleansing techniques that can be used to ensure data consistency, which means that the data is uniform and follows a standard format. By filtering on any of the responses that do not say "January" and updating them to "January", the analyst can make sure that all the responses for the month of January are written in the same way. The other steps are not appropriate for ensuring data consistency. Here is why:
Deleting any of the responses that do not have "January" written out would result in data loss, which means that some information would be missing from the data set. This could affect the accuracy and reliability of the analysis.
Replacing any of the responses that have "01" would not solve the problem of data inconsistency, because there would still be two different ways of writing the month of January: "Jan" and "January". This could cause confusion and errors in the analysis.
Sorting any of the responses that say "Jan" and updating them to "01" would also not solve the problem of data inconsistency, because there would still be two different ways of writing the month of January: "01" and "January". This could also cause confusion and errors in the analysis.
NEW QUESTION # 329
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