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DA0-001 考試共有 90 道題目，考生有 90 分鐘的時間完成考試。該考試分為五個領域：數據概念、關聯數據庫、雲計算、數據管理和工具以及數據可視化。考生應該在數據庫、數據倉儲、數據治理、數據分析和數據可視化方面具有豐富知識。該考試要求考生深入了解最新的數據管理技術和技巧。

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IT專業技術認證是進入IT行業的“敲門磚”。由國際著名IT企業頒發的職業證書，證明了你具有某種專業IT技能，為國際承認並通用。這些國際著名 IT企業為：Microsoft、Oracle、Cisco、Amazon、IBM、Oracle等。DA0-001 考試就是其中一個流行的 CompTIA 認證。許多考生對這門考試沒有什麼信心，其實，DA0-001 最新的擬真試題是用最快和最聰明的的方式來傳遞您的考試，並幫助您獲得 CompTIA DA0-001 認證。

CompTIA Data+ 認證是業界公認的認證，受到雇主的高度重視。它表明候選人具備與數據和數據庫技術相關的技能和知識，在當今數據驅動的世界中，這些技能是必不可少的。對於從事 IT 工作的人來說，這種認證尤其有價值，因為數據管理和分析是這個領域的基本技能。

最新的 CompTIA Data+ DA0-001 免費考試真題 (Q37-Q42):

問題 #37
Which of the following data cleansing issues will be fixed when a DISTINCT function is applied?

A. Invalid data
B. Missing data
C. Redundant data
D. Duplicate data

答案：D

解題說明：
Explanation
This is because duplicate data refers to data that is repeated or copied in a data set, which can affect the quality and validity of the analysis. A DISTINCT function is a type of function that removes duplicate values from a column or a table, leaving only unique values. For example, a DISTINCT function in SQL that can achieve this is:

The other data cleansing issues will not be fixed by applying a DISTINCT function. Here is why:
Missing data refers to data that is absent or incomplete in a data set, which can affect the accuracy and reliability of the analysis. A DISTINCT function does not help with missing data, because it does not fill in or impute the missing values.
Redundant data refers to data that is unnecessary or irrelevant for the analysis, which can affect the efficiency and performance of the analysis. A DISTINCT function does not help with redundant data, because it does not remove or filter out the redundant values.
Invalid data refers to data that is incorrect or inaccurate in a data set, which can affect the validity and reliability of the analysis. A DISTINCT function does not help with invalid data, because it does not validate or correct the invalid values.

問題 #38
Given the following:

Which of the following is the most important thing for an analyst to do when transforming the table for a trend analysis?

A. Separate the table into two tables and create a primary key
B. Replace the extended cost field with a calculated field.
C. Correct the dates so they have the same format.
D. Fill in the missing cost where it is null.

答案：C

解題說明：
Explanation
Correcting the dates so they have the same format is the most important thing for an analyst to do when transforming the table for a trend analysis. Trend analysis is a method of analyzing data over time to identify patterns, changes, or relationships. To perform a trend analysis, the data needs to have a consistent and comparable format, especially for the date or time variables.
In the example, the date purchased column has two different formats: YYYY-MM-DD and MM/DD/YYYY.
This could cause errors or confusion when sorting, filtering, or plotting the data over time. Therefore, the analyst should correct the dates so they have the same format, such as YYYY-MM-DD, which is a standard and unambiguous format.

問題 #39
Which of the following are reasons to conduct data cleansing? (Select two).

A. To track KPls
B. To review data sets
C. To calculate trends
D. To increase the sample size
E. To improve accuracy
F. To perform web scraping

答案：C,E

解題說明：
Explanation
Two reasons to conduct data cleansing are:
To improve accuracy: Data cleansing helps to ensure that the data is correct, consistent, and reliable.
This can improve the quality and validity of the analysis, as well as the decision-making and outcomes based on the data12 To calculate trends: Data cleansing helps to remove or resolve any errors, outliers, or missing values that could distort or skew the data. This can help to identify and measure the patterns, changes, or relationships in the data over time13

問題 #40
Which of the following roles is responsible for ensuring an organization's data quality, security, privacy, and regulatory compliance?

A. Data processor.
B. Data owner.
C. Data custodian.
D. Data steward.

答案：D

解題說明：
Correct answer B. Data steward.
A data steward is responsible for leading an organization's data governance activities, which include data quality, security, privacy, and regulatory compliance.

問題 #41
When building a word cloud, what feature varies with the frequency that a word appears in the text?

A. Font placement.
B. Font style.
C. Font color.
D. Font size.

答案：D

問題 #42
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