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Greg Bell Greg Bell

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一流的DA0-001題庫和有效的CompTIA認證培訓 -實用的CompTIA CompTIA Data+ Certification Exam

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>> DA0-001題庫 <<

DA0-001證照信息 - DA0-001考題資訊

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最新的 CompTIA Data+ DA0-001 免費考試真題 (Q281-Q286):

問題 #281
Given the following data:

Which of the following BEST describes the data set?

A. The data is outliers.
B. The data is inconsistent.
C. The data is incomplete.
D. There is data bias.

答案：B

解題說明：
Explanation
This is because inconsistency is a type of data quality issue that occurs when the data does not follow a common format, structure, or rule across different sources or systems, which can affect the efficiency and performance of the analysis or process. Inconsistency can be caused by having different spellings, punctuations, capitalizations, or abbreviations for the same or similar values in a data set, such as "M", "m",
"Male", or "male" for gender in this case. Inconsistency can be eliminated or reduced by using data cleansing techniques, such as standardizing or normalizing the data values. The other options are not correct descriptions of the data set. Here is why:
Data bias is a type of data quality issue that occurs when the data is not representative or proportional of the population or the parameter, which can affect the validity and reliability of the analysis or process.
Data bias can be caused by having a sample that is too small, too large, or too skewed for the population or the parameter, such as having only male customers for a product that targets both genders in this case.
Data bias can be eliminated or reduced by using sampling techniques, such as stratified or cluster sampling.
The data is incomplete is a type of data quality issue that occurs when the data is absent or missing in a data set, which can affect the accuracy and reliability of the analysis or process. The data is incomplete can be caused by various factors, such as human error, system error, or non-response. The data is incomplete can be addressed by using various methods, such as replacing or imputing the missing values with some reasonable estimates, such as mean, median, mode, or regression.
The data is outliers is a type of data quality issue that occurs when the data has values that are unusually high or low compared to the rest of the data set, which can affect the quality and validity of the analysis or process. The data is outliers can be caused by various factors, such as measurement error, natural variation, or extreme events. The data is outliers can be addressed by using various methods, such as removing or filtering out the outliers, or using robust statistics that are less sensitive to outliers, such as median, interquartile range, or box plot.

問題 #282
The total values in this month's revenue report are twice as much as last month's. Which of the following most likely occurred during the ETL process?

A. The data cleansing processes failed to execute.
B. The data normalization processes failed.
C. The report included the previous month's data.
D. The database connectivity failed.

答案：C

問題 #283
Which of the following BEST describes the issue in which character values are mixed with integer values in a data set column?

A. Data outliers
B. Invalid data type
C. Missing data
D. Duplicate data

答案：D

問題 #284
An analyst is building a new dashboard for a user. After an initial conversation with the user. the analyst created a mock-up of the dashboard. Which of the following best explains why the analyst created the mock- up?

A. To receive client approval for the final dashboard design
B. To send to the client after deploying the dashboard to production
C. To identify the dimensions and measures
D. To confirm important details before dashboard development begins

答案：D

解題說明：
To confirm important details before dashboard development begins.
A dashboard mockup is a prototype of a finished dashboard directly in the product. It is a way to visualize the layout, design, and functionality of the dashboard before it is built with real data and code. A dashboard mockup can help the analyst to confirm important details with the user, such as the business objectives, the key performance indicators, the data sources, the filters, the charts, and the interactivity.By creating a dashboard mockup, the analyst can get immediate feedback and validation from the user,and avoid wasting time and resources on developing a dashboard that does not meet the user's expectations or needs1.

問題 #285
A data set has the following values:

Which of the following is the best reason for cleansing the data?

A. Data outliers
B. Invalid data
C. Redundant data
D. Missing data

答案：D

解題說明：
Comprehensive and Detailed In-Depth
In this dataset, we can see an issue withincomplete or missing data:
Cameron Smith's "Date of Birth" field is Null, which indicatesmissing datathat needs to be filled in.
The format inconsistency in "Date of Birth" (e.g., "13-Jun" vs. "Dec 14") can also be problematic, requiring standardization.
Option A (Invalid data):Incorrect. The data is not necessarily invalid, but it is incomplete.
Option B (Redundant data):Incorrect. Redundant data means unnecessary duplication, which is not the case here.
Option C (Data outliers):Incorrect. Outliers refer to values that are extremely different from the rest of the dataset, which does not apply here.
Option D (Missing data):Correct.The "Date of Birth" field has missing values (e.g., "Null"), requiring data cleansing.

問題 #286
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