Latest CompTIA DA0-001 PDF and Dumps (2024) Free Exam Questions Answers
Pass Your CompTIA Data+ DA0-001 Exam on Mar 26, 2024 with 215 Questions
CompTIA DA0-001 exam, also known as the CompTIA Data+ certification exam, is a certification exam designed to test an individual's knowledge and skills in the field of data management. DA0-001 exam is ideal for individuals who are looking to advance their careers in data management and administration. DA0-001 exam covers a range of topics such as database management, data warehousing, data security, data analysis, and more. It is a vendor-neutral exam, which means that it is not tied to a specific technology or solution, making it a valuable certification for professionals working in any industry.
NEW QUESTION # 96
A publishing group has requested a dashboard to track submissions before publication. A key requirement is that all changes are tracked, as multiple users will be checking out documents and editing them before submissions are considered final. Which of the following is the BEST way to meet this stakeholder requirement?
- A. Present a data refresh date at the top of the dashboard.
- B. Display the version number next to each submission on the dashboard.
- C. Use permissions to ensure users only see certain versions of the submissions.
- D. Confirm the dashboard is adhering to the corporate style guide.
Answer: C
NEW QUESTION # 97
Given the data below:
In which of the following file formats is the data presented?
- A. Xs
- B. RIF
- C. CSV
- D. XML
Answer: C
NEW QUESTION # 98
Which of the following will MOST likely be streamed live?
- A. Delimited rows
- B. Key-value pairs
- C. Flat files
- D. Machine data
Answer: D
Explanation:
Explanation
Machine data is the most likely type of data to be streamed live, as it refers to data generated by machines or devices, such as sensors, web servers, network devices, etc. Machine data is often produced continuously and in large volumes, requiring real-time processing and analysis. Other types of data, such as key-value pairs, delimited rows, and flat files, are more likely to be stored in databases or files and processed in batches.
NEW QUESTION # 99
Given the following data:
Which of the following BEST describes the data set?
- A. The data is inconsistent.
- B. There is data bias.
- C. The data is outliers.
- D. The data is incomplete.
Answer: A
NEW QUESTION # 100
Which of the following would be considered non-personally identifiable information?
- A. Telephone number
- B. Government ID number
- C. Cell phone device name
- D. Customer's name
Answer: C
Explanation:
Explanation
Non-personally identifiable information (non-PII) is any data that cannot be used to identify, contact, or locate a specific individual, either alone or combined with other sources. Non-PII can include aggregated statistics, anonymous data, device identifiers, IP addresses, cookies, and other types of information that do not reveal the identity or location of a person. Cell phone device name is an example of non-PII, as it does not reveal any personal information about the owner or user of the device. Therefore, the correct answer is A. References:
What is Non-Personally Identifiable Information (Non-PII)? | Definition and Examples, What is Personally Identifiable Information (PII)? | Definition and Examples
NEW QUESTION # 101
You would like to measure how well an organization is achieving its goals.
What type of analysis should you perform?
- A. Trend analysis.
- B. Outlier analysis.
- C. Predictive analysis.
- D. Performance analysis.
Answer: D
Explanation:
Explanation
Performance analysis is the technique of studying or comparing the performance of a specific situation in contrast to the aim and yet executed. In Human Resources, performance analysis can help to review an employee's contribution towards a project or assignment, which they allotted him or her.
NEW QUESTION # 102
An analyst is designing a dashboard to determine which site has the highest percentage of new customers. The analyst must choose an appropriate chart to include in the dashboard. The following data is available:
Which of the following types of charts should be considered to BEST display the data?
- A. Include a bar chart using the site and the percentage of new customers data.
- B. Include a pie chat using the site and percentage of new customers data.
- C. Include a line chart using the site and the percentage of new customers data.
- D. Include a scatter chart using the site and the percent of new customers data.
Answer: A
Explanation:
Explanation
This is because a bar chart is a type of chart that shows the value or the amount of a single variable for different categories or groups, such as the percentage of new customers for different sites in this case. A bar chart can be used to display and analyze the comparison, ranking, or proportion among the categories or groups, as well as identify any differences, similarities, or outliers in the data. For example, a bar chart can show which site has the highest or lowest percentage of new customers, as well as show how much each site contributes to the total percentage of new customers. The other types of charts are not the best charts to display the data. Here is why:
A line chart is a type of chart that shows the change or the trend of a single variable over time, such as the percentage of new customers over months or years in this case. A line chart can be used to display and analyze the movement, cycle, or pattern of the variable, as well as identify any peaks, valleys, or fluctuations in the data. For example, a line chart can show how the percentage of new customers increases or decreases over time, as well as show if there are any seasonal or periodic variations in the data.
A pie chart is a type of chart that shows the proportion or the percentage of a single variable for different categories or groups, such as the percentage of new customers for different sites in this case. A pie chart can be used to display and analyze the composition, distribution, or share of the variable, as well as identify any segments, slices, or fractions in the data. For example, a pie chart can show how much each site represents of the total percentage of new customers, as well as show if there are any dominant or minor sites in the data.
A scatter chart is a type of chart that shows the relationship between two variables for each observation or unit in a data set, such as the percentage of new customers and another variable for each site in this case. A scatter chart can be used to display and analyze the correlation, trend, or pattern among the variables, as well as identify any outliers or clusters in the data. For example, a scatter chart can show if there is a positive, negative, or no correlation between the percentage of new customers and another variable, such as sales revenue or customer satisfaction.
NEW QUESTION # 103
Which of the following is an example of PII?
- A. Name
- B. Age
- C. Ethnicity
- D. Gender
Answer: A
Explanation:
Explanation
A name is an example of personally identifiable information (PII), which is any data that can be used to identify someone, either on its own or with other relevant data. A name is a direct identifier, which means that it can uniquely identify a person without the need for any additional information. For example, a full name, such as John Smith, can be used to distinguish or trace an individual's identity1.
Other examples of direct identifiers include:
Social Security Number
Passport number
Driver's license number
Email address
Phone number
NEW QUESTION # 104
What R package makes it easy to work with dates?
- A. Lubridate.
- B. Datemath.
- C. Stringr.
- D. ggplot.
Answer: A
Explanation:
Explanation
Lubridate is an R package that makes it easier to work with dates and times.
NEW QUESTION # 105
An analyst has generated a report that includes the number of months in the first two quarters of 2019 when sales exceeded $50,000:
Which of the following functions did the analyst use to generate the data in the Sales_indicator column?
- A. Aggregate
- B. Date
- C. Logical
- D. Sort
Answer: D
NEW QUESTION # 106
Which of the following data elements would not normally be stored in binary format?
- A. Video recording.
- B. Audio recording.
- C. Photograph.
- D. Geolocation.
Answer: D
NEW QUESTION # 107
What role in a data governance is typically responsible for day-to-day oversight of data use?
- A. Data owners.
- B. Data stewards.
- C. Data custodians
- D. Data processors.
Answer: B
NEW QUESTION # 108
A data analyst needs to perform a full outer join of a customer's orders using the tables below:
Which of the following is the mean of the order quantity?
- A. 73.5
- B. 81.5
- C. 78.8
- D. 76.5
Answer: B
Explanation:
Explanation
The correct answer is D. OUTER JOIN, seven rows.
An OUTER JOIN is a type of SQL join that returns all the rows from both tables, regardless of whether there is a match or not. If there is no match, the missing side will have null values. An OUTER JOIN can be either a LEFT JOIN, a RIGHT JOIN, or a FULL JOIN, depending on which table's rows are preserved1 Using the example tables, a FULL OUTER JOIN query would look like this:
SELECT Cust_id, Order_id, Order_qty FROM Sales_table FULL OUTER JOIN Order_table ON Sales_table.Order_id = Order_table.Order_id; The result of this query would be:
Cust_id | Order_id | Order_qty --------±---------±--------- 1 | 1 | 100 2 | 2 | 50 3 | 3 | 25 4 | 4 | 75 NULL | 5 | 10 NULL | 6 | 20 NULL | 7 | 15 As you can see, the query returns seven rows, one for each order in either table. The orders that are not in the Sales_table have null values for the Cust_id column.
To find the mean of the order quantity, we need to sum up the order quantities and divide by the number of rows. In this case, the mean is (100 + 50 + 25 + 75 + 10 + 20 + 15) / 7 = 42.14. Rounding to one decimal place, we get 42.1 as the mean of the order quantity.
NEW QUESTION # 109
Consider the following dataset which contains information about houses that are for sale:
Which of the following string manipulation commands will combine the address and region name columns to create a full address?
full_address------------------------- 85 Turner St, Northern Metropolitan 25 Bloomburg St, Northern Metropolitan 5 Charles St, Northern Metropolitan 40 Federation La, Northern Metropolitan 55a Park St, Northern Metropolitan
- A. SELECT CONCAT(address, '-' , regionname) AS full_address FROM melb LIMIT 5;
- B. SELECT CONCAT(regionname, '-' , address) AS full_address FROM melb LIMIT 5;
- C. SELECT CONCAT(regionname, ' , ' , address) AS full_address FROM melb LIMIT 5
- D. SELECT CONCAT(address, ' , ' , regionname) AS full_address FROM melb LIMIT 5;
Answer: D
Explanation:
Explanation
The correct answer is A: SELECT CONCAT(address, ' , ' , regionname) AS full_address FROM melb LIMIT
5; String manipulation (or string handling) is the process of changing, parsing, splicing, pasting, or analyzing strings. SQL is used for managing data in a relational database. The CONCAT () function adds two or more strings together. Syntax CONCAT(stringl, string2,... string_n) Parameter Values Parameter Description stringl, string2, string_n Required. The strings to add together.
NEW QUESTION # 110
Different people manually type a series of handwritten surveys into an online database. Which of the following issues will MOST likely arise with this data? (Choose two.)
- A. Data constraints
- B. Data attribute limitations
- C. Data accuracy
- D. Data bias
- E. Data consistency
- F. Data manipulation
Answer: C,F
NEW QUESTION # 111
A data analyst needs to calculate the mean for Q1 sales using the data set below:
Which of the following is the mean?
- A. $2,466.18
- B. $12,330.88
- C. $3,082.72
- D. $2,667.60
Answer: A
NEW QUESTION # 112
You would like to measure how well an organization is achieving its goals.
What type of analysis should you perform?
- A. Trend analysis.
- B. Outlier analysis.
- C. Predictive analysis.
- D. Performance analysis.
Answer: D
Explanation:
Performance analysis is the technique of studying or comparing the performance of a specific situation in contrast to the aim and yet executed. In Human Resource, performance analysis can help to review an employee's contribution towards a project or assignment, which they allotted him or her.
NEW QUESTION # 113
An analyst is working on a project for a director. During this process. the analyst pulled the data. created summarized tables and graphs with descriptions, created a report summary, and inserted all items into a report.
After writing the report, which of the following would be the most appropriate next step?
- A. Complete an audit on the data pulled for the report.
- B. Complete a check for quality in the report.
- C. Complete a trend analysis to be included in the report.
- D. Complete a review of the data and a check for consistency
Answer: B
Explanation:
Explanation
After writing the report, the most appropriate next step for the analyst is to complete a check for quality in the report. This involves reviewing the report for accuracy, clarity, completeness, consistency, and relevance. The analyst should ensure that the report addresses the director's business questions and objectives, that the data and analysis are correct and reliable, that the tables and graphs are well-designed and easy to understand, that the descriptions and summary are concise and informative, and that there are no errors or inconsistencies in the report. A quality check will help the analyst to improve the presentation and communication of the report, as well as to avoid any misunderstandings or misinterpretations by the director1.
NEW QUESTION # 114
What type of access permission system is most appropriate for a dashboard?
- A. Mandatory.
- B. Role-based.
- C. Attribute-based.
- D. Rule-based.
Answer: B
NEW QUESTION # 115
A research analyst collects ten data points from 1.000 specimens. The analyst will not need any additional data to complete the analysis and will not need to retrieve information by specifier. Which of the following is the best data structure for the analyst to use?
- A. Relational database
- B. Flat file
- C. NoSQL
- D. JSON
Answer: B
Explanation:
Explanation
A flat file is a type of data structure that stores data in a plain text format, such as CSV, TSV, or TXT. A flat file consists of one or more records, each containing one or more fields, separated by a delimiter, such as a comma, tab, or space. A flat file does not have any hierarchical or relational structure, and does not support any complex queries or operations1.
A flat file may be the best data structure for the analyst to use in this scenario, because:
The analyst collects ten data points from 1,000 specimens, which means the data is relatively small and simple, and can be easily stored and processed in a flat file.
The analyst will not need any additional data to complete the analysis, which means the data is static and does not require any updates or modifications.
The analyst will not need to retrieve information by specifier, which means the data does not require any indexing or searching by key or value.
NEW QUESTION # 116
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