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CompTIA Data+ Certification Exam Sample Questions (Q332-Q337):

NEW QUESTION # 332
Which of the following can be used to translate data into another form so it can only be read by a user who has a key or a password?

Answer: C

Explanation:
Data encryption can be used to translate data into another form so it can only be read by a user who has a key or a password. Data encryption is a process of transforming data using an algorithm or a cipher to make it unreadable to anyone except those who have the key or the password to decrypt it. Data encryption is a common method of protecting data from unauthorized access, modification, or theft. Reference: Guide to CompTIA Data+ and Practice Questions - Pass Your Cert


NEW QUESTION # 333
Given the following athlete workout data (with inconsistent units or formats for time/distance), which of the following best describes the data quality issue?

Answer: B

Explanation:
In typical versions of this question, the athlete workout table shows things like:
* Distances recorded sometimes in miles, sometimes in kilometers, or
* Times recorded in different formats (e.g., 00:35:10 vs 35.1 vs 35min), or
* Mixed conventions that make direct comparison difficult.
This is a classic data inconsistency issue:
* The same field/attribute (e.g., distance, time) does not follow a consistent unit, format, or coding scheme across rows.
* Even if each individual value might be "possible," they are not standardized to the same convention.
Why the other options are less appropriate:
* Duplicate data (A): Would mean repeated identical rows or values; not the case here.
* Data outlier (B): Refers to extreme values that still follow the same measurement and format but are numerically unusual; here the problem is the inconsistent representation, not just extremity.
* Invalid data (D): Would mean values that violate business rules or allowed ranges (e.g., negative distance); here, the focus is on differences in units/format, which aligns more with inconsistency.
Thus, the best description of the issue is Data inconsistency (C).
CompTIA Data+ Reference (concept alignment):
* DA0-001 Objectives - Data quality: consistency as a dimension (same units, formats, and definitions across records).
* Study coverage of inconsistent units and formats as a data quality problem.


NEW QUESTION # 334
A data analyst needs to collect a similar proportion of data from every state. Which of the following sampling methods would be the most appropriate?

Answer: D

Explanation:
The best sampling method for the data analyst's need is C. Stratified sampling.
Stratified sampling is a type of probability sampling that involves dividing the population into homogeneous groups or strata based on some characteristic, such as state, and then randomly selecting a proportional number of individuals from each stratum. Stratified sampling ensures that every group is adequately represented in the sample, and reduces the sampling error and variability12 Systematic sampling is not correct, because it involves selecting every nth individual from the population, starting from a random point. Systematic sampling does not guarantee that every state will have a similar proportion of data in the sample, and may introduce bias or error if there is a hidden pattern or order in the population12 Convenience sampling is not correct, because it involves selecting individuals who are easily accessible or available to the researcher. Convenience sampling is a type of non-probability sampling that does not involve random selection, and may result in a biased or unrepresentative sample12 Random sampling is not correct, because it involves selecting individuals from the population at random, without any grouping or stratification. Random sampling may not produce a sample that has a similar proportion of data from every state, especially if the population is large or heterogeneous. Random sampling may also have a higher sampling error and variability than stratified sampling12


NEW QUESTION # 335
Which of the following is a process that is used during data integration to collect, blend, and load data?

Answer: C

Explanation:
ETL is a process that is used during data integration to collect, blend, and load data. ETL stands for extract, transform, and load, which are the three main steps involved in moving data from different sources to a common destination, such as a data warehouse or a data lake. ETL helps to consolidate and standardize data for analysis and reporting purposes. Reference: CompTIA Data+ Certification Exam Objectives, page 12


NEW QUESTION # 336
A sales manager wants quarterly sales reports broken down by unit and week. Which of the following data output lists includes the most necessary information?

Answer: C

Explanation:
Explanation
To create a quarterly sales report broken down by unit and week, the most necessary information is the item number, item name, salesperson, date sold, and price. These data elements can help the sales manager to track the sales volume, revenue, and performance of each unit and each week within a quarter. The item number and item name can identify the products or services sold by each unit. The salesperson can indicate the individual or team responsible for each sale. The date sold can show when each sale occurred and how it relates to the weekly and quarterly goals. The price can show how much revenue each sale generated and how it contributes to the unit and quarterly totals.


NEW QUESTION # 337
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All questions in our CompTIA DA0-001 pass guide are at here to help you prepare for the certification exam. We have developed our learning materials with accurate CompTIA DA0-001 exam answers and detailed explanations to ensure you pass test in your first try. Our PDF files are printable that you can share your CompTIA DA0-001 free demo with your friends and classmates.

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