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To be eligible to take the CompTIA DA0-001 certification exam, candidates should have some experience in data analysis. They should also have a good understanding of various data analysis techniques, tools, and technologies. Candidates who pass the exam will receive the CompTIA Data+ certification, which is a valuable credential in the field of data analysis.
CompTIA DA0-001 certification is an industry-recognized certification that can help individuals stand out in a competitive job market. CompTIA Data+ Certification Exam certification demonstrates that the candidate has the skills and knowledge required to manage and analyze large amounts of data effectively. Additionally, earning the certification can lead to better job opportunities and increased earning potential. Overall, the CompTIA DA0-001 certification is an excellent choice for individuals who are interested in pursuing a career in data management and analysis.
CompTIA DA0-001 exam is a 90-minute exam with a maximum of 80 multiple-choice questions. DA0-001 exam is computer-based and can be taken at any authorized Pearson VUE testing center. The passing score for the exam is 720 out of 900. DA0-001 exam fee is $319, and it is valid for three years.
NEW QUESTION # 81
Mario works with a group of R programmers tasked with copying data from an accounting system into a data warehouse.
In what phase are the group's R skills most relevant?
- A. Load.
- B. Extract.
- C. Transform.
- D. Purge.
Answer: C
Explanation:
Correct answer C. Transform
The R programming language is used to manipulate and model data.
In the ETL process, this activity normally takes place during the Transform phase.
The Extract and Load phases typically use database-centric tools.
Purging data from database is typically done using SQL.
NEW QUESTION # 82
Which of the following is an example of a data-mining ETL tool?
- A. Cognos
- B. SSIS
- C. SPSS
- D. Stata
Answer: B
Explanation:
Explanation
A data-mining ETL tool is a software application that performs extract, transform, and load (ETL) operations on data for data mining purposes. Data mining is the process of discovering patterns, trends, and insights from large and complex data sets. ETL tools help to prepare the data for analysis by extracting data from various sources, transforming data into a consistent and suitable format, and loading data into a data warehouse or other destination. SSIS (SQL Server Integration Services) is an example of a data-mining ETL tool that is part of Microsoft SQL Server. SSIS provides graphical tools and wizards for building and debugging ETL packages that can work with various data sources and destinations. Therefore, the correct answer is A.
References: [Data Mining - SQL Server Integration Services (SSIS) | Microsoft Docs], [What Is Data Mining? | Oracle]
NEW QUESTION # 83
Given the diagram below:
Which of the following data schemas shown?
- A. Data lake
- B. Key-value pairs
- C. Online transactional processing
- D. Relational database
Answer: D
NEW QUESTION # 84
An analysts building a monthly report for production and wants to ensure the audience is aware of its once-a-month cadence. Which of the following is the MOST important to convey that information?
- A. The data refresh date
- B. A report summary
- C. Frequently asked questions
- D. The date of the dashboard build
Answer: D
Explanation:
Explanation
This is because the date of the dashboard build is the most important component to convey that information, which is the once-a-month cadence of the monthly report for production. The date of the dashboard build can convey that information by indicating when the dashboard was created or updated, as well as showing the frequency or interval of the dashboard creation or update. For example, the date of the dashboard build can convey that information by displaying a date format that includes the month and year, such as January 2020, February 2020, etc., or by displaying a text format that includes the word "monthly", such as Monthly Report for Production - January 2020, Monthly Report for Production - February 2020, etc. The other components are not the most important components to convey that information. Here is why:
The data refresh date is a component that indicates when the data on the dashboard was refreshed or retrieved from the source or system, such as a database, a cloud service, or a web application. The data refresh date does not convey that information, but rather conveys how current or up-to-date the data on the dashboard is.
A report summary is a component that provides an overview or a highlight of the main findings or insights from the dashboard, such as key metrics, indicators, or trends. A report summary does not convey that information, but rather conveys what the dashboard is about or what it shows.
Frequently asked questions is a component that provides answers or explanations to common or expected questions from the audience or users of the dashboard, such as how to use or interpret the dashboard, what are the assumptions or limitations of the dashboard, etc. Frequently asked questions does not convey that information, but rather conveys how to understand or interact with the dashboard.
NEW QUESTION # 85
Which one of the following values would not be appropriately stored in integer data type?
- A. 0
- B. 1.2
- C. 1
- D. 2
Answer: B
NEW QUESTION # 86
You would like to combine the text in two different strings to form a single string.
What action are you performing?
- A. Parsing.
- B. Case conversion.
- C. Trimming.
- D. Concatenation.
Answer: D
Explanation:
Simply defined, concatenation is the act of linking things together. In Microsoft Excel, the concatenation function is one of many text functions, which allows users to combine data distributed over multiple columns.
The concatenation of two or more numbers is the number formed by concatenating their numerals.
For example, the concatenation of 1, 234, and 5678 is 12345678.
NEW QUESTION # 87
An analyst has conducted a review of business questions. Which of the following should the analyst do next to conduct an analysis?
- A. Determine the data needs and review the observations.
- B. Determine the data needs and begin the analysis.
- C. Determine the data needs and sources for analysis.
- D. Determine the data needs and schedule interviews.
Answer: C
Explanation:
Explanation
After conducting a review of the business questions, the next step for the analyst is to determine the data needs and sources for analysis. This involves identifying the relevant data elements, variables, and metrics that are required to answer the business questions, as well as the data sources, formats, and quality that are available to access and use. This step will help the analyst to plan the data collection, preparation, and integration processes, as well as to assess the feasibility and limitations of the analysis1.
NEW QUESTION # 88
What is NOT a characteristic of a good data steward?
- A. A good technology expert.
- B. Influential.
- C. A subject matter expert.
- D. Collaborative.
Answer: A
Explanation:
Provide the technical expertise around source systems, extract, transform, and load (ETL) processes, data stores, data warehouses, and Business intelligence tools.
NEW QUESTION # 89
A data analyst is creating a report that will provide information about various regions, products, and time periods. Which of the following formats would be the most efficient way to deliver this report?
- A. A static report with a different page for every filtered view
- B. A daily email with snapshots of regional summaries
- C. A dashboard with filters at the top that the user can toggle
- D. A workbook with multiple tabs for each region
Answer: C
Explanation:
Explanation
The best format to deliver this report is D. A dashboard with filters at the top that the user can toggle.
A dashboard is a visual display of the most important information needed to achieve one or more objectives, consolidated and arranged on a single screen so the information can be monitored at a glance1 A dashboard with filters at the top that the user can toggle would allow the user to easily and quickly access the information they need about various regions, products, and time periods, without having to navigate through multiple tabs, pages, or emails. A dashboard with filters would also enable the user to compare and contrast different views of the data and see how they change over time. A dashboard with filters would also be more interactive and engaging than a static or email report2 A workbook with multiple tabs for each region would not be an efficient way to deliver this report, because it would require the user to switch between different tabs to see the information they need. This would make it harder to compare and contrast different regions, products, and time periods, and also increase the risk of errors or confusion. A workbook with multiple tabs would also be less visually appealing and more cluttered than a dashboard3 A daily email with snapshots of regional summaries would not be an efficient way to deliver this report, because it would limit the user's ability to explore the data in depth and customize their view. A daily email would also be dependent on the frequency and timing of the email delivery, which might not match the user's needs or preferences. A daily email would also be more likely to be ignored or deleted than a dashboard that is always accessible.
A static report with a different page for every filtered view would not be an efficient way to deliver this report, because it would create a very long and cumbersome report that would be difficult to read and understand. A static report would also not allow the user to change or update the filters as they wish, or see how the data changes over time. A static report would also be less interactive and engaging than a dashboard.
NEW QUESTION # 90
A military commander would like to see the health scorecards of the troops daily and filter them based on gender and rank. Considering this data is PHI, which of the following would be the best way for the commander to view the information?
- A. A password-protected dashboard
- B. A cloud-hosted spreadsheet
- C. A daily printout of a report
- D. An emailed report
Answer: A
Explanation:
Explanation
A password-protected dashboard is a type of web-based application that can display the health scorecards of the troops in a secure and interactive way. A password-protected dashboard can provide the following benefits for the commander:
It can protect the PHI data from unauthorized access or disclosure by requiring a valid username and password to log in. This can ensure that only the commander and other authorized personnel can view the information12 It can allow the commander to filter the data based on gender and rank by using drop-down menus, sliders, checkboxes, or other controls. This can enable the commander to customize the view and focus on the relevant data13 It can update the data daily by connecting to a data source that refreshes automatically or on demand. This can ensure that the commander always sees the latest and most accurate information14 It can present the data in a visual and intuitive way by using charts, graphs, tables, or other elements. This can help the commander to understand and analyze the data more easily and effectively1
NEW QUESTION # 91
An analyst runs a report on a daily basis, and the number of datapoints must be validated before the data can be analyzed. The number of datapoints increases each day by approximately 20% of the total number from the day before. On a given day, the number of datapoints was 8,798. Which of the following should be the total number of datapoints on the next day?
- A. 10,800
- B. 10,600
- C. 7,038
- D. 9,600
Answer: B
NEW QUESTION # 92
The number of phone calls that call center receives in a day is an example of:
- A. categorical data.
- B. ordinal data.
- C. continuous data.
- D. discrete data.
Answer: D
NEW QUESTION # 93
'Which of the following is the BEST reason to use database views instead of tables?
- A. Views allow for the joining of multiple data sources, whereas tables do not.
- B. Views can be used to restrict sensitive information.
- C. Views reduce the need for repetitive, complex data joins.
- D. Views allow for the storage of temporary data. whereas tables do not.
Answer: C
NEW QUESTION # 94
Zip code,____________, and___________ uniquely identify 87% of people in the United States.
- A. date of birth, gender
- B. first name, last name
- C. gender, first name
- D. phone number, email address
Answer: A
NEW QUESTION # 95
The current date is July 14, 2020. A data analyst has been asked to create a report that shows the company's year-over-year Q2 2020 sales. Which of the following reports should the analyst compare?
- A. Q2 2020 and Q2 2021
- B. A Q2 2020 and Q4 2019
- C. YTD 2020 and YTD 2019
- D. Q2 2020 and Q2 2019
Answer: D
NEW QUESTION # 96
Given the following data tables:
Which of the following MDM processes needs to take place FIRST?
- A. Consolidation of multiple data fields
- B. Creation of a data dictionary
- C. Compliance with regulations
- D. Standardization of data field names
Answer: D
NEW QUESTION # 97
Five dogs have the following heights in millimeters:
300, 430, 170, 470, 600
Which of the following is the mean height for the five dogs?
- A. 394mm
- B. 405mm
- C. 493mm
- D. 504mm
Answer: A
NEW QUESTION # 98
Which one of the following is not a good example of discrete data type?
- A. Temperature of a room.
- B. Number of children.
- C. Attendees at a meeting.
- D. Years of experience.
Answer: A
NEW QUESTION # 99
You are measuring how much a child has grown over the past year and would like to express that using a percentage.
What calculation is most appropriate?
- A. Percent change.
- B. Percent variance.
- C. Percent difference.
- D. Percent deviation.
Answer: A
NEW QUESTION # 100
Which of the following statements would be used to append two tables that have the same number of columns?
- A. JOIN
- B. UNION ALL
- C. MERGE
- D. GROUP BY
Answer: B
Explanation:
Explanation
The correct answer is A. UNION ALL.
UNION ALL is a SQL statement that appends two tables that have the same number of columns and compatible data types. UNION ALL preserves all the rows from both tables, including any duplicates12 B: MERGE is not correct, because MERGE is a SQL statement that combines the data of two tables based on a common column. MERGE can perform insert, update, or delete operations on the target table depending on the matching or non-matching rows from the source table34 C: GROUP BY is not correct, because GROUP BY is a SQL clause that groups the rows of a table based on one or more columns. GROUP BY is often used with aggregate functions, such as SUM, AVG, COUNT, etc., to calculate summary statistics for each group56 D: JOIN is not correct, because JOIN is a SQL clause that combines the data of two tables based on a common column or condition. JOIN can produce different results depending on the type of join, such as INNER JOIN, LEFT JOIN, RIGHT JOIN, etc.
NEW QUESTION # 101
Given the image below:
The data should be cleaned because of the presence of:
- A. multicollinearity.
- B. outlier
- C. invalid data.
- D. non-parametric data.
Answer: B
Explanation:
Explanation
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.
NEW QUESTION # 102
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