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CompTIA DA0-001試験は、データ管理と分析に従事する専門家にとって不可欠な認定試験です。この試験は、この分野にとって基本的なトピックをカバーしており、世界中の雇用主に認められています。この認定を取得することで、個人はデータ管理と分析の専門知識を示し、キャリアアップの新しい機会を追求することができます。
CompTIA Data+ 認定は、データ管理における専門知識を証明したい IT プロフェッショナルにとって貴重な資格です。この認定は、異なるタイプのデータを扱い、データの保存と整理を理解し、データ分析とセキュリティ技術を適用する能力を証明します。世界中の雇用主や組織に認められており、IT 分野でキャリアを進めたい個人にとって役立ちます。
Comptia Data+認定は、データ管理における候補者の知識とスキルを実証する国際的に認められた認定です。この認定は、トップIT企業によって認識されており、より良い雇用機会とより高い給与につながる可能性があります。認定は3年間有効であり、候補者は継続教育ユニット（CEU）を獲得するか、試験の最新バージョンに合格することで認定を更新できます。
質問 # 134
An analyst is required to run a text analysis of data that is found in articles from a digital news outlet. Which of the following would be the BEST technique for the analyst to apply to acquire the data?
- A. Sampling
- B. Data wrangling
- C. ETL
- D. Web scraping
正解：D
解説：
This is because web scraping is a technique that allows the analyst to extract data from web pages, such as articles from a digital news outlet. Web scraping can be done using various tools and methods, such as Python libraries, browser extensions, or online services. The other techniques are not suitable for acquiring data from web pages. Here is why:
Sampling is a technique that involves selecting a subset of data from a larger population, usually for statistical analysis or testing purposes. Sampling does not help the analyst to acquire data from web pages, but rather to reduce the amount of data to be analyzed.
Data wrangling is a technique that involves transforming and cleaning data to make it suitable for analysis or visualization. Data wrangling does not help the analyst to acquire data from web pages, but rather to improve the quality and usability of the data.
ETL stands for Extract, Transform, and Load, which is a process that involves moving data from one or more sources to a destination, such as a data warehouse or a database. ETL does not help the analyst to acquire data from web pages, but rather to store and organize the data.
質問 # 135
An analyst modified a data set that had a number of issues. Given the original and modified versions:
Which of the following data manipulation techniques did the analyst use?
- A. Parsing
- B. Deriving
- C. Imputation
- D. Recoding
正解：D
解説：
The correct answer is B. Recoding.
Recoding is a data manipulation technique that involves changing the values or categories of a variable to make it more suitable for analysis. Recoding can be used to simplify or group the data, to correct errors or inconsistencies, or to create new variables from existing ones12 In the example, the analyst used recoding to change the values of Var001, Var002, Var003, and Var004 from numerical to textual form. The analyst also used recoding to assign meaningful labels to the values, such as
"Absent" for 0, "Present" for 1, "Low" for 2, "Medium" for 3, and "High" for 4. This makes the data more understandable and easier to analyze.
質問 # 136
An analyst has received the requirements for an internal user dashboard. The analyst confirms the data sources and then creates a wireframe. Which of the following is the NEXT step the analyst should take in the dashboard creation process?
- A. Create subscriptions.
- B. Deploy to production.
- C. Get stakeholder approval.
- D. Optimize the dashboard.
正解：C
解説：
Getting stakeholder approval is the next step the analyst should take in the dashboard creation process, after confirming the data sources and creating a wireframe. Stakeholder approval means getting feedback and validation from the intended users or clients of the dashboard, to ensure that it meets their expectations and requirements. This step helps to avoid rework and ensure customer satisfaction. References: CompTIA Data+ Certification Exam Objectives, page 14
質問 # 137
The category PII (Personally identifiable information) includes all of the following, except_________.
- A. Browsing habits.
- B. Medical records.
- C. Financial information.
- D. Trade secrets.
正解：D
質問 # 138
A collections manager has a team calling customers who are past due on their accounts in an attempt to collect payments. The manager receives the call list in the form of a printed report that is generated by the accounting department at the beginning of each week. Consequently, the collections team calls some customers who have made payments in the time since the report was last printed. Which of the following reporting enhancements could the accounting department implement to best reduce the number of calls on current accounts?
- A. Add a report run date to the report.
- B. Increase the frequency of report generation.
- C. Include a time stamp on the report.
- D. Modify the date range on the report
正解：B
解説：
Explanation
The best reporting enhancement that the accounting department could implement to reduce the number of calls on current accounts is C. Increase the frequency of report generation.
By increasing the frequency of report generation, the accounting department could provide the collections manager with more up-to-date information on the customers who are past due on their accounts. This would help to avoid calling customers who have made payments in the time since the last report was printed, and thus reduce the number of calls on current accounts. Increasing the frequency of report generation would also improve the accuracy and timeliness of the data, and enhance the efficiency and effectiveness of the collections process.
Modifying the date range on the report, including a time stamp on the report, or adding a report run date to the report would not be sufficient to reduce the number of calls on current accounts. These enhancements would only provide information on when the report was generated or what period it covers, but they would not change the fact that the report could be outdated by the time it reaches the collections manager. Therefore, these enhancements would not solve the problem of calling customers who have already paid their accounts.
質問 # 139
A data analyst has been asked to organize the table below in the following ways:
By sales from high to low -
By state in alphabetic order -
Which of the following functions will allow the data analyst to organize the table in this manner?
- A. Grouping
- B. Conditional formatting
- C. Sorting
- D. Filtering
正解：C
質問 # 140
A data analyst is performing a data merge within a spreadsheet using the tables below:
https://www.bing.com/images/blob?bcid=S1XCF9p02M4GjpbGxHj0lrIaj9sw.....4c
The analyst is attempting to pull the addresses from Table 2 into Table 1 using the last names and is receiving an error message. Which of the following steps can the analyst perform to fix the error?
- A. Sort the data by the last name field.
- B. Ensure the formula is pulling from right to left.
- C. Use concatenate to combine the tables.
- D. Review the spelling and data type.
正解：D
解説：
The error in merging data from Table 2 into Table 1 using last names could be due to discrepancies in spelling or data type between the two tables. It is essential to ensure that the last names are spelled consistently and that the data types are compatible for a successful merge. Option D suggests reviewing these aspects, which can potentially resolve the error, ensuring that each last name in Table 1 accurately corresponds to the same last name in Table 2, allowing for a successful data pull of addresses.
References: This answer is based on general data analytics practices and does not reference a specific document.
質問 # 141
A data analyst needs to create a data visualization that aids in un the cumulative impact of sequentially introduced values that are positive or negative. Which of the following data visualization methods should the analyst use?
- A. A bubble chart
- B. A scatter plot
- C. A line chart
- D. A waterfall chart
正解：D
解説：
Explanation
A waterfall chart is a type of data visualization that shows the cumulative impact of sequentially introduced values that are positive or negative. A waterfall chart typically has an initial value and a final value, with intermediate values shown as floating columns that either add to or subtract from the initial value. A waterfall chart can help visualize how different factors contribute to a net change in a value over time.
Therefore, the correct answer is B. References: [Waterfall Chart | Definition & Examples - Investopedia], [Waterfall Charts in Excel | How to Create Waterfall Chart in Excel?]
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質問 # 142
A database consists of one fact table that is composed of multiple dimensions. Depending on the dimension, each one can be represented by a denormalized table or multiple normalized tables. This structure is an example of a:
- A. non-relational schema.
- B. snowflake schema.
- C. transactional schema.
- D. star schema.
正解：C
質問 # 143
Which of following is a non-relational database?
- A. MySQL
- B. Neo4j
- C. SQLite
- D. PostgreSQL
正解：B
解説：
Neo4j is a type of non-relational database that uses a graph model to store dat a. A graph database is a database that represents data as nodes and edges, where nodes are entities and edges are relationships between them. A graph database can store complex and diverse data that is not easily structured in tables. A graph database can also perform fast and efficient queries on the data by traversing the connections between the nodes
質問 # 144
Andrew conducts a study and wants to capture eye color.
What kind of data is eye color?
Choose the best response.
- A. Discrete.
- B. Continuous.
- C. Categorical.
- D. Alphanumeric.
正解：C
解説：
Correct answer B. Categorical.
Eye color can only fall into a certain range of values; as such, it is categorical.
質問 # 145
An employer needs to maintain adequate office staffing during the winter and wants to track storm dat a. Which of the following data collection methods should the employer use?
- A. Web scraping
- B. Observations
- C. Weather surveys
- D. Public databases
正解：D
質問 # 146
A data analyst for a media company needs to determine the most popular movie genre. Given the table below:
Which of the following must be done to the Genre column before this task can be completed?
- A. Merge
- B. Delimit
- C. Concatenate
- D. Append
正解：B
解説：
The action that must be done to the Genre column before this task can be completed is delimit. Delimit is a process of separating or splitting a string of text into multiple parts based on a delimiter, which is a character or a sequence of characters that marks the boundary between the parts. For example, a comma (,) or a semicolon (;) can be used as a delimiter. In this case, the Genre column contains multiple genres for each movie, separated by commas. To determine the most popular movie genre, the data analyst needs to delimit the Genre column by commas, so that each genre can be counted and compared separately. The other options are not relevant for this task, as they are related to combining or joining strings or tables, not separating them. Append is a process of adding or attaching one string or table to the end of another string or table. Merge is a process of combining or joining two or more tables into one table based on a common column or key. Concatenate is a process of joining or linking two or more strings together into one string. Reference: [How to Split Text in Excel - Exceljet]
質問 # 147
Which of the following data cleansing issues will be fixed when a DISTINCT function is applied?
- A. Missing data
- B. Duplicate data
- C. Invalid data
- D. Redundant data
正解：B
解説：
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.
質問 # 148
What would be an example of an acceptable form of primary identification for the Data+ exam?
- A. Credit card with photo and signature.
- B. School ID card.
- C. Passport.
- D. Employee ID card.
正解：C
質問 # 149
A data analyst needs to present the results of an online marketing campaign to the marketing manager. The manager wants to see the most important KPIs and measure the return on marketing investment. Which of the following should the data analyst use to BEST communicate this information to the manager?
- A. A spreadsheet of the raw data from all marketing campaigns and channels
- B. A sell-service dashboard that allows the manager to look at the company's annual budget performance
- C. A real-time monitor that allows the manager to view performance the day the campaign was launched
- D. A summary with statistics, conclusions, and recommendations from the data analyst
正解：D
解説：
The option that the data analyst should use to best communicate the information to the manager is a summary with statistics, conclusions, and recommendations from the data analyst. A summary is a concise and clear way of presenting the main findings and insights from the data analysis report. A summary should include relevant statistics that support the conclusions and recommendations from the data analyst. A summary should also highlight the most important KPIs and measure the return on marketing investment in relation to the objectives of the online marketing campaign. The other options are not as effective as using a summary to communicate the information to the manager, as they either provide too much or too little information or do not address the manager's needs or expectations. A real-time monitor may provide too much information that can be overwhelming or distracting for the manager who wants to see only the most important KPIs and measure the return on marketing investment. A self-service dashboard may provide too little information that can be insufficient or unclear for the manager who wants to see some guidance and interpretation from the data analyst. A spreadsheet of raw data may provide irrelevant or inaccurate information that can be confusing or misleading for the manager who wants to see some analysis and insights from the data analyst. Reference:
[How to Write an Executive Summary for Your Data Analysis Report - Towards Data Science]
質問 # 150
Given the image below:
The data should be cleaned because of the presence of:
- A. non-parametric data.
- B. outlier
- C. multicollinearity.
- D. invalid data.
正解：B
解説：
The answer is A. Outlier.
Short explanation: An outlier is a data point that differs significantly from the rest of the data in a dataset. An outlier can indicate an error, an anomaly, or a rare event in the data. An outlier can affect the statistical analysis and visualization of the data, such as skewing the mean, variance, or distribution of the data.
Therefore, data should be cleaned to identify and remove or correct any outliers.
The image below shows a box plot graph with a vertical axis labeled "Customer Calls" and a horizontal axis labeled "Churn". The box plot is blue in color and the median value is around 2. There are 7 outliers above the box plot, ranging from 4 to 8.
image)
A box plot is a type of graph that can show the distribution of data values using five summary statistics:
minimum, maximum, median, first quartile, and third quartile. The box represents the interquartile range (IQR), which is the difference between the first and third quartiles. The median is shown as a line inside the box. The whiskers extend from the box to the minimum and maximum values, excluding any outliers.
Outliers are shown as dots or circles outside the whiskers.
In this graph, we can see that most of the customer calls are between 0 and 4, with a median of 2. However, there are 7 outliers that have more than 4 customer calls, up to 8. These outliers may indicate some customers who have more issues or complaints than others, or some errors or anomalies in the data collection or recording process. These outliers can affect the analysis and interpretation of the customer calls and churn relationship, such as making it seem that more customer calls lead to less churn, which may not be true for the majority of the customers. Therefore, data should be cleaned to investigate and handle these outliers appropriately.
質問 # 151
A user receives a large custom report to track company sales across various date ranges. The user then completes a series of manual calculations for each date range. Which of the following should an analyst suggest so the user has a dynamic, seamless experience?
- A. Create a dashboard with a date range picker and calculations built in.
- B. Add macros to the report to speed up the filtering and calculations process.
- C. Build calculations into the report so they are done automatically.
- D. Create multiple reports, one for each needed date range.
正解：A
質問 # 152
Encryption is a mechanism for protecting data.
When should encryption be applied to data?
Choose the best answer.
- A. When data is at rest or in transit.
- B. When data is in transit.
- C. When data is at rest, unless you are using local storage.
- D. When data is at rest.
正解：A
解説：
Explanation
Correct answer B. When data is at rest or in transit.
To provide maximum protection, encrypt data both in transit and at rest.
質問 # 153
Which of the following differentiates a flat text file from other data types?
- A. Data is stored in defined rows.
- B. Data is separated by a delimiter.
- C. Data is defined with key-value pairs.
- D. Data is housed in a markup language.
正解：B
解説：
A flat text file is a type of data file that contains only plain text without any formatting or markup. Data in a flat text file is usually separated by a delimiter, which is a character that marks the boundary between different fields or values. For example, a comma-separated values (CSV) file is a flat text file that uses commas as delimiters. Other common delimiters are tabs, spaces, semicolons, and pipes. Therefore, the correct answer is A. Reference: Plain text - Wikipedia, Comparison of document markup languages - Wikipedia
質問 # 154
Which of the following variable name formats would be problematic if used in the majority of data software programs?
- A. FirstName
- B. First_Name
- C. First_Name_
- D. First Name
正解：D
解説：
This is because First Name is a variable name format that would be problematic if used in most of the data software programs, such as Excel, SQL, or Python. This is because First Name contains a space between two words, which could cause confusion or errors in the data software programs, as they might interpret the space as a separator or a delimiter between two different variables or values, rather than as part of a single variable name. For example, in SQL, a space is used to separate keywords, clauses, or expressions in a statement, such as SELECT, FROM, WHERE, etc. Therefore, using First Name as a variable name in SQL could result in a syntax error or an unexpected result. The other variable name formats would not be problematic if used in most of the data software programs. Here is why:
First_Name_ is a variable name format that uses an underscore (_) to separate two words, which is a common and acceptable practice in most of the data software programs, as it helps to improve the readability and clarity of the variable name. For example, in Python, an underscore is used to follow the PEP 8 style guide for naming variables, which recommends using lowercase letters and underscores for multi-word variable names.
FirstName is a variable name format that uses camel case to separate two words, which is another common and acceptable practice in most of the data software programs, as it helps to reduce the length and complexity of the variable name. For example, in Excel, camel case is used to follow the VBA naming conventions for naming variables, which recommends using mixed case letters for multi-word variable names.
First_Name is a variable name format that also uses an underscore (_) to separate two words, which is also a common and acceptable practice in most of the data software programs, as it helps to improve the readability and clarity of the variable name. For example, in SQL, an underscore is used to follow the ANSI SQL naming standards for naming variables, which recommends using lowercase letters and underscores for multi-word variable names.
質問 # 155
Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?
- A. Microsoft Power B1
- B. SAS
- C. IBM SPSS
- D. Python
正解：D
質問 # 156
The duration of a phone call in milliseconds is an example of:
- A. continuous data.
- B. boolean data.
- C. ordinal data.
- D. nominal data.
正解：A
解説：
The correct answer is D. Continuous data.
Continuous data is a type of quantitative data that can take any value within a range and can be measured with infinite precision. Continuous data can be expressed as fractions, decimals, or percentages. Examples of continuous data are height, weight, temperature, time, speed, etc12 The duration of a phone call in milliseconds is an example of continuous data, because it can take any value within a range (from zero to infinity) and can be measured with infinite precision (up to milliseconds or even smaller units). The duration of a phone call in milliseconds can also be expressed as fractions, decimals, or percentages of a larger unit (such as seconds, minutes, or hours).
Ordinal data is not correct, because ordinal data is a type of qualitative or categorical data that can be ordered or ranked according to some criterion. Ordinal data can have a logical order, but the intervals between the values are not equal or meaningful. Examples of ordinal data are grades, ratings, ranks, etc12 Nominal data is not correct, because nominal data is a type of qualitative or categorical data that can be labeled or named without any order or ranking. Nominal data can have a finite number of categories or classes, but the categories have no intrinsic value or hierarchy. Examples of nominal data are gender, color, nationality, etc12 Boolean data is not correct, because boolean data is a type of binary data that can have only two possible values: true or false. Boolean data can be used to represent logical statements, conditions, or outcomes.
Examples of boolean data are yes/no, on/off, 1/0, etc.
質問 # 157
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