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NEW QUESTION # 23
What cybersecurity goal protects an organization's data from unauthorized modification?
- A. Availability.
- B. Confidentiality.
- C. Integrity.
- D. Non-repudiation.
Answer: C
Explanation:
The term data integrity refers to the accuracy and consistency of data. When creating databases, attention needs to be given to data integrity and how to maintain it. A good database will enforce data integrity whenever possible. For example, a user could accidentally try to enter a phone number into a date field.
NEW QUESTION # 24
Which one of the following in NOT a common data integration tool?
- A. XSS
- B. APIs
- C. ETL
- D. ELT
Answer: A
Explanation:
Cross-site Scripting (XSS) is a security vulnerability usually found in websites and/or web applications that accept user input.
XSS is a client-side vulnerability that targets other application users, while SQL injection is a server-side vulnerability that targets the application's database. How do I prevent XSS in PHP? Filter your inputs with a whitelist of allowed characters and use type hints or type casting.
NEW QUESTION # 25
A customer list from a financial services company is shown below:
A data analyst wants to create a likely-to-buy score on a scale from 0 to 100, based on an average of the three numerical variables: number of credit cards, age, and income. Which of the following should the analyst do to the variables to ensure they all have the same weight in the score calculation?
- A. Recode the variables.
- B. Normalize the variables.
- C. Calculate the percentiles of the variables.
- D. Calculate the standard deviations of the variables.
Answer: B
Explanation:
Explanation
Normalizing the variables means scaling them to a common range, such as 0 to 1 or -1 to 1, so that they have the same weight in the score calculation. Recoding the variables means changing their values or categories, which would alter their meaning and distribution. Calculating the percentiles of the variables means ranking them relative to each other, which would not account for their actual magnitudes. Calculating the standard deviations of the variables means measuring their variability, which would not make them comparable.
References: CompTIA Data+ Certification Exam Objectives, page 10
NEW QUESTION # 26
The number of phone calls that call center receives in a day is an example of:
- A. continuous data.
- B. ordinal data.
- C. discrete data.
- D. categorical data.
Answer: C
NEW QUESTION # 27
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. Web scraping
- B. ETL
- C. Sampling
- D. Data wrangling
Answer: A
NEW QUESTION # 28
A sales manager wants quarterly sales reports broken down by unit and week. Which of the following data output lists includes the most necessary information?
- A. Item name. salesperson. price. shipping cost. and date shipped
- B. Item name, salesperson. recipient address, shipping cost. and date shipped
- C. Order number. salesperson. date shipped, recipient address, and price
- D. Item number, item name, salesperson. date sold. and price
Answer: D
Explanation:
Explanation
To create a quarterly sales report broken down by unit and week, the most necessary information is the item number, item name, salesperson, date sold, and price. These data elements can help the sales manager to track the sales volume, revenue, and performance of each unit and each week within a quarter. The item number and item name can identify the products or services sold by each unit. The salesperson can indicate the individual or team responsible for each sale. The date sold can show when each sale occurred and how it relates to the weekly and quarterly goals. The price can show how much revenue each sale generated and how it contributes to the unit and quarterly totals.
NEW QUESTION # 29
What is the final stage of the data lifecycle?
- A. Store.
- B. Archive.
- C. Share.
- D. Destroy.
Answer: D
Explanation:
Destroying data means it can no longer be read by an operating system or application. Merely deleting a file is insufficient. When you delete a file on an electronic device, you may not be able to see it any longer, but the information is still stored on the device's hard drive or memory chip.
When the time comes that you no longer need a document or set of documents, you should destroy them. Providing that they don't relate to company information, clients or employees, you are able to destroy them as frequently as you please.
NEW QUESTION # 30
Which of the following will MOST likely be streamed live?
- A. Machine data
- B. Delimited rows
- C. Flat files
- D. Key-value pairs
Answer: A
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 # 31
A data analyst has been asked to create a sales report that calculates the rolling 12-month average for sales. If the report will be published on November 1, 2020, which of the following months shouts the report cover?
- A. October 31, 2019 to October 31, 2020
- B. October 1, 2019 to October 31, 2020
- C. November 1, 2019 to October 31, 2020
- D. October 31, 2020 to November 1, 2021
Answer: B
Explanation:
Explanation
The report should cover the months from October 1, 2019 to October 31, 2020. A rolling 12-month average is a type of moving average that calculates the average of the last 12 months of data for each month. It is useful for smoothing out seasonal fluctuations and identifying long-term trends in the data. To calculate the rolling
12-month average for sales for November 1, 2020, the analyst needs to use the sales data from the previous 12 months, starting from November 1, 2019 and ending on October 31, 2020. The other options are either too short or too long to cover the required period.
NEW QUESTION # 32
What category of data stewardship work is focused on ensuring that the organization respects the wishes of data subjects?
- A. Data quality.
- B. Regulatory compliance.
- C. Data privacy.
- D. Data security.
Answer: C
Explanation:
Data privacy defines who has access to data, while data protection provides tools and policies to actually restrict access to the data. Compliance regulations help ensure that user's privacy requests are carried out by companies, and companies are responsible to take measures to protect private user data.
Why is data privacy important?
When data that should be kept private gets in the wrong hands, bad things can happen. A data breach at a government agency can, for example, put top secret information in the hands of an enemy state. A breach at a corporation can put proprietary data in the hands of a competitor.
NEW QUESTION # 33
Afinancial institution is reporting on sales performance to a company at the account level. Due to the sensitive nature of the government the does il with, some account information is not shown. Which of the following fields should be masked?
- A. Sales volume
- B. Product name
- C. Customer name
- D. Start date
Answer: C
NEW QUESTION # 34
Analyze the values of X shown below
(2,2,5,6,7)
What is the modal value?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 35
What is the maximum number of values that may be assigned to a single key in a key/value store?
- A. 0
- B. 1
- C. No maximum
- D. 2
Answer: C
NEW QUESTION # 36
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: B
NEW QUESTION # 37
Which one of the following in NOT a common data integration tool?
- A. XSS
- B. APIs
- C. ETL
- D. ELT
Answer: A
Explanation:
Explanation
Cross-site Scripting (XSS) is a security vulnerability usually found in websites and/or web applications that accept user input.
XSS is a client-side vulnerability that targets other application users, while SQL injection is a server-side vulnerability that targets the application's database. How do I prevent XSS in PHP? Filter your inputs with a whitelist of allowed characters and use type hints or type casting.
NEW QUESTION # 38
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(address, '-' , regionname) AS full_address FROM melb LIMIT 5;
- D. SELECT CONCAT(regionname, ' , ' , address) AS full_address FROM melb LIMIT 5
Answer: A
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 # 39
Given the diagram below:
Which of the following data schemas shown?
- A. Relational database
- B. Data Lake
- C. Online transactional processing
- D. Key-value pairs
Answer: A
Explanation:
Explanation
A relational database is a type of database that organizes data into tables, where each table has a fixed number of columns and a variable number of rows. Each row in a table represents a record or an entity, and each column represents an attribute or a property of that entity. The tables are linked by common fields, called keys, which enable the database to establish relationships between the data. A relational database schema is a diagram that shows the structure and organization of the tables, columns, keys, and constraints in a relational database. The diagram given in the question is an example of a relational database schema, as it shows two tables: "Runs" and "Experiments", with their respective columns, data types, and primary keys. The "Runs" table also has a foreign key that references the "ExperimentId" column in the "Experiments" table, indicating a relationship between the two tables. Therefore, the correct answer is D. References: What is a database schema? | IBM, Database Schema - Javatpoint
NEW QUESTION # 40
Maria is developing a script that will perform some common analytics tasks.
In order to improve the efficiency of her workflow, she is using a package called the Tidyverse.
What programming language is she using?
- A. Python
- B. Ruby
- C. R
- D. C++
Answer: C
Explanation:
The tidyverse is a collection of packages for the R programming language designed to facilitate the analytics workflow.
The tidyverse is not available for Python, Ruby, or C++, all of which are general-purpose programming languages.
NEW QUESTION # 41
Which one of the following would not normally be considered a summary statistic?
- A. Variance.
- B. z-score.
- C. Standard deviation.
- D. Mean.
Answer: B
Explanation:
Simply put, a z-score (also called a standard score) gives you an idea of how far from the mean a data point is. But more technically it's a measure of how many standard deviations below or above the population mean a raw score is. A z-score can be placed on a normal distribution curve.
NEW QUESTION # 42
Given the following customer and order tables:
Which of the following describes the number of rows and columns of data that would be present after performing an INNER JOIN of the tables?
- A. Nine rows, five columns
- B. Five rows, eight columns
- C. Seven rows, eight columns
- D. Eight rows, seven columns
Answer: C
Explanation:
Explanation
This is because an INNER JOIN is a type of join that combines two tables based on a matching condition and returns only the rows that satisfy the condition. An INNER JOIN can be used to merge data from different tables that have a common column or a key, such as customer ID or order ID. To perform an INNER JOIN of the customer and order tables, we can use the following SQL statement:
This statement will select all the columns (*) from both tables and join them on the customer ID column, which is the common column between them. The result of this statement will be a new table that has seven rows and eight columns, as shown below:
The reason why there are seven rows and eight columns in the result table is because:
There are seven rows because there are six customers and six orders in the original tables, but only five customers have matching orders based on the customer ID column. Therefore, only five rows will have data from both tables, while one row will have data only from the customer table (customer 5), and one row will have no data at all (null values).
There are eight columns because there are four columns in each of the original tables, and all of them are selected and joined in the result table. Therefore, the result table will have four columns from the customer table (customer ID, first name, last name, and email) and four columns from the order table (order ID, order date, product, and quantity).
NEW QUESTION # 43
Given the following data:
Which of the following BEST describes the data set?
- A. There is data bias.
- B. The data is outliers.
- C. The data is inconsistent.
- D. The data is incomplete.
Answer: C
Explanation:
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.
NEW QUESTION # 44
What SQL command is used to delete an entire table from a database?
- A. ALTER.
- B. MODIFY.
- C. DELETE.
- D. DROP.
Answer: D
NEW QUESTION # 45
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. 7,038
- C. 10,600
- D. 9,600
Answer: C
NEW QUESTION # 46
In a tabular dataset, what term is used to describe the data that appears in a single row?
- A. Field.
- B. Table.
- C. Records.
- D. Attribute.
Answer: C
NEW QUESTION # 47
Which of the following descriptive statistical methods are measures of central tendency? (Choose two.)
- A. Correlation
- B. Maximum
- C. Minimum
- D. Mean
- E. Mode
- F. Variance
Answer: D,E
NEW QUESTION # 48
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CompTIA Data+ certification is an internationally recognized certification that demonstrates the candidate's knowledge and skills in data management. CompTIA Data+ Certification Exam certification is recognized by top IT companies, and it can lead to better job opportunities and higher salaries. CompTIA Data+ Certification Exam certification is valid for three years, and candidates can renew their certification by earning Continuing Education Units (CEUs) or by passing the latest version of the exam.
CompTIA DA0-001 (CompTIA Data+ Certification) certification exam is a valuable credential for IT professionals who work with data. It validates their skills and knowledge in data management, analysis, and interpretation, and demonstrates their competence in working with different types of data using various tools and techniques. CompTIA Data+ Certification Exam certification is suitable for professionals who want to enhance their career prospects in the field of data analysis or management and is recognized globally as a standard for data competency.
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