CompTIA DA0-001 Real 2024 Braindumps Mock Exam Dumps
DA0-001 Exam Questions | Real DA0-001 Practice Dumps
To earn the CompTIA Data+ Certification, candidates must pass the DA0-001 exam, which covers topics such as data storage, data backup and recovery, data security, data governance, and data analysis. CompTIA Data+ Certification Exam certification is ideal for professionals who are looking to advance their careers in data management or for those who are starting their careers in this field. With the growing importance of data management in today's businesses, the CompTIA Data+ Certification can help professionals stand out in the job market and demonstrate their expertise in managing data effectively.
NEW QUESTION # 69
The director of operations at a power company needs data to help identify where company resources should be allocated in order to monitor activity for outages and restoration of power in the entire state. Specifically, the director wants to see the following:
* County outages
* Status
* Overall trend of outages
INSTRUCTIONS:
Please, select each visualization to fit the appropriate space on the dashboard and choose an appropriate color scheme. Once you have selected all visualizations, please, select the appropriate titles and labels, if applicable.
Titles and labels may be used more than once.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.
Power outages
Answer:
Explanation:
Explanation
This is a simulation question that requires you to create a dashboard with visualizations that meet the director's needs. Here are the steps to complete the task:
Drag and drop the visualization that shows the county outages on the top left space of the dashboard.
This visualization is a map of the state with different colors indicating the number of outages in each county. You can choose any color scheme that suits your preference, but make sure that the colors are consistent and clear. For example, you can use a gradient of red to show the counties with more outages and green to show the counties with less outages.
Drag and drop the visualization that shows the status of the outages on the top right space of the dashboard. This visualization is a pie chart that shows the percentage of outages that are active, restored, or pending. You can choose any color scheme that suits your preference, but make sure that the colors are distinct and easy to identify. For example, you can use red for active, green for restored, and yellow for pending.
Drag and drop the visualization that shows the overall trend of outages on the bottom space of the dashboard. This visualization is a line graph that shows the number of outages over time. You can choose any color scheme that suits your preference, but make sure that the color is visible and contrasted with the background. For example, you can use blue for the line and white for the background.
Select appropriate titles and labels for each visualization. Titles and labels may be used more than once.
For example, you can use "County Outages" as the title for the map, "Status" as the title for the pie chart, and "Trend" as the title for the line graph. You can also use "County", "Number of Outages",
"Active", "Restored", "Pending", "Time", and "Number of Outages" as labels for the axes and legends of the visualizations.
NEW QUESTION # 70
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. Calculate the standard deviations of the variables.
- B. Normalize the variables.
- C. Recode the variables.
- D. Calculate the percentiles of the variables.
Answer: B
NEW QUESTION # 71 
Which of the following logical statements results in Table B?
- A.
- B.
- C.
- D.
Answer: A
Explanation:
Explanation
The logical statement that results in Table B is Option D. Option D is a logical statement that uses the AND operator to combine two conditions: Name = "Tom" and Region = "BC". The AND operator returns true only if both conditions are true, otherwise it returns false. Therefore, Option D will select only the rows from Table A that satisfy both conditions, which are rows 4, 5, 6, and 7. These rows form Table B, as shown below:
Name | Gender flag | Level | College | Code | Region Tom | Male | Elementary | A | BC | BC Kim | Female | Elementary | A | BC | BC Pat | Female | Elementary | A | BC | BC Ben | Male | Elementary | A | BC | BC The other options are not correct, as they use different logical operators or conditions that do not result in Table B. Option A uses the OR operator, which returns true if either condition is true, or both. Option A will select all the rows from Table A except row 3, which does not match either condition. Option B uses the NOT operator, which returns the opposite of the condition. Option B will select all the rows from Table A except rows 4, 5, 6, and 7, which match the condition. Option C uses a different condition, Region = "ON", which does not match any row in Table A. Option C will select no rows from Table A. Reference: [SQL Logical Operators - W3Schools]
NEW QUESTION # 72
Jhon is working on an ELT process that sources data from six different source systems.
Looking at the source data, he finds that data about the sample people exists in two of six systems.
What does he have to make sure he checks for in his ELT process?
Choose the best answer.
- A. Duplicate Data.
- B. Invalid Data.
- C. Missing Data.
- D. Redundant Data.
Answer: B
Explanation:
Explanation
Duplicate Data.
While invalid, redundant, or missing data are all valid concerns, data about people exists in two of the six systems. As such, Jhon needs to account for duplicate data issues.
NEW QUESTION # 73
Which of the following is used for calculations and pivot tables?
- A. Microsoft Excel
- B. SAS
- C. IBM SPSS
- D. Domo
Answer: A
NEW QUESTION # 74
Given the diagram below:
Which of the following data schemas shown?
- A. Key-value pairs
- B. Online transactional processing
- C. Relational database
- D. Data Lake
Answer: C
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 # 75
The duration of a phone call in milliseconds is an example of:
- A. ordinal data.
- B. boolean data.
- C. continuous data.
- D. nominal data.
Answer: C
Explanation:
Explanation
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.
NEW QUESTION # 76
Which of the following variable name formats would be problematic if used in the majority of data software programs?
- A. First Name
- B. First_Name
- C. FirstName
- D. First_Name_
Answer: A
Explanation:
Explanation
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.
NEW QUESTION # 77
Given the diagram below:
Which of the following data schemas shown?
- A. Key-value pairs
- B. Online transactional processing
- C. Relational database
- D. Data Lake
Answer: C
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 # 78
Given the following data:
Which of the following BEST describes the data set?
- A. The data is outliers.
- B. There is data bias.
- C. The data is inconsistent.
- D. The data is incomplete.
Answer: C
NEW QUESTION # 79
What output from a statistical test is used when performing hypothesis testing?
- A. P-value
- B. Standard deviation
- C. R-value
- D. Alpha value
Answer: A
NEW QUESTION # 80
Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?
- A. SAS
- B. IBM SPSS
- C. Python
- D. Microsoft Power B1
Answer: C
Explanation:
Explanation
The option that is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language is Python. Python is a popular and versatile programming language that can be used for various purposes, such as web development, software development, automation, machine learning, and data analysis. Python has many features and libraries that make it suitable for data analytics, such as its simple syntax, dynamic typing, multiple paradigms, built-in data structures, NumPy, pandas, matplotlib, scikit-learn, etc. The other options are not programming languages, but software applications or platforms that are used for data analytics or related tasks. SAS is a software suite that provides advanced analytics, business intelligence, data management, and predictive analytics capabilities. Microsoft Power BI is a business analytics service that provides interactive visualizations and business intelligence capabilities. IBM SPSS is a software package that offers statistical analysis, data mining, text analytics, and predictive analytics capabilities. Reference: Python For Data Analysis - DataCamp
NEW QUESTION # 81
A data analyst is asked on the morning of April 9, 2020, to create a sales report that identifies sales year to date. The daily sales data is current through the end of the day. Which of the following date ranges should be on the report?
- A. January 1, 2020 to April 8, 2020
- B. January 1, 2020 to April 9, 2020
- C. January 1, 2020 to April 7, 2020
- D. January 1, 2020 to April 1, 2020
Answer: B
NEW QUESTION # 82
Olivia has 15 people on her data analytics team. Her team's charter requires that all team members have read access to the finance, human resources, sales, and customer service areas of the corporate data warehouse.
What is the best way to provision access to her team?
Choose the best answer.
- A. Since there are four discrete data subjects, create one role for each subject area.
- B. Enable multifactor authentication (MFA) to protect the data.
- C. Since there are 15 people on her team, create a role for each person to improve security.
- D. Create a single role that includes finance, human resources, sales, and customer services data.
Answer: D
Explanation:
Correct answer D. Create a single role that includes finance, human resources, sales, and customer services data.
While MFA is a good security practice, it doesn't govern access to data.
Creating a single role for her team and assigning that role to the individuals on the team is the best approach.
NEW QUESTION # 83
Andy is a pricing analyst for a retailer. Using a hypothesis test, he wants to assess whether people who receive electronic coupons spend more on average.
What should Andy's null hypothesis be?
- A. People who do not receive electronic coupons spend more on average.
- B. People who receive electronic coupons spend less on average.
- C. People who receive electronic coupons do not spend more on average.
- D. People who receive electronic coupons spend more on average.
Answer: C
Explanation:
The null hypothesis presumes the status quo. Andy is testing whether or not people who receive an electronic coupon spend more on average, so, the null hypothesis states that people who receive the coupon do spend more on average.
NEW QUESTION # 84
Oliver is designing an ETL process to copy sales data into a data warehouse on a hourly basis.
What approach should Oliver choose that would be most efficient and minimize the chance of losing historical data?
- A. Purge and load.
- B. Use ELT instead of ETL.
- C. Delta load.
- D. Bulk load.
Answer: C
Explanation:
Correct answer D. Delta load
Since Oliver needs to migrate changes every hour, a delta load is the best approach.
NEW QUESTION # 85
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 pie chat using the site and percentage of new customers data.
- B. Include a line chart using the site and the percentage of new customers data.
- C. Include a scatter chart using the site and the percent of new customers data.
- D. Include a bar chart using the site and the percentage of new customers data.
Answer: D
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 # 86
An analyst needs to provide a chart to identify the composition between the categories of the survey response data set:
Which of the following charts would be BEST to use?
- A. Waterfall
- B. Pie
- C. Line
- D. Histogram
- E. Scatter pot
Answer: B
Explanation:
Explanation
The best chart to use to identify the composition between the categories of the survey response data set is a pie chart. A pie chart is a circular chart that shows the relative proportions of different categories in a whole. A pie chart is divided into slices that represent the percentage or frequency of each category. A pie chart is suitable for displaying categorical data that has a few categories and does not have any hierarchical or temporal relationship. In this case, a pie chart can show the composition of the favorite colors among the survey respondents, as well as the percentage of each color. The other options are not as good as a pie chart for this purpose, as they are more suitable for displaying numerical data that has some kind of distribution, trend, correlation, or comparison. A histogram is a bar chart that shows the frequency distribution of a single numerical variable. A line chart is a chart that shows the change of one or more numerical variables over time or another continuous variable. A scatter plot is a chart that shows the relationship between two numerical variables by plotting them as points on a Cartesian plane. A waterfall chart is a chart that shows how an initial value is increased or decreased by a series of intermediate values, resulting in a final value. Reference:
[Choosing the Right Chart Type - DataCamp]
NEW QUESTION # 87
A data analyst has a set with more than 40.000 rows in the sample schema below:
The analyst would like to create one column that contains the customers' birth dates. Which of the following data quality dimensions would BEST explain the reason for compilation?
- A. Data duplication
- B. Data completeness
- C. Data accuracy
- D. Data integrity
Answer: D
Explanation:
Explanation
Data integrity is the dimension that measures the consistency and validity of data across different data sources.
In this case, the data analyst wants to create one column that contains the customers' birth dates, but the data is stored in different formats and locations in the sample schema. For example, some customers have their birth dates in the customer table, while others have their birth years in the sales table. To compile the data into one column, the data analyst needs to ensure that the data is consistent and valid across the tables. Therefore, data integrity is the best explanation for the reason for compilation. References: Data Quality Dimensions - DATAVERSITY, The 6 Data Quality Dimensions with Examples | Collibra
NEW QUESTION # 88
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. Sort
- B. Date
- C. Aggregate
- D. Logical
Answer: D
Explanation:
Explanation
This is because a logical function is a type of function that returns a value based on a condition or a set of conditions. A logical function can be used to generate the data in the Sales_indicator column by comparing the values in the Sales column with a threshold of $50,000 and returning either "Exceeded $50,000" or "Not exceeded $50,000" accordingly. For example, a logical function in Excel that can achieve this is:
The other functions are not suitable for generating the data in the Sales_indicator column. Here is why:
Aggregate is a type of function that performs a calculation on a group of values, such as sum, average, count, etc. An aggregate function cannot generate the data in the Sales_indicator column because it does not compare the values in the Sales column with a threshold or return a text value based on a condition.
Date is a type of function that manipulates or extracts information from dates, such as year, month, day, etc. A date function cannot generate the data in the Sales_indicator column because it does not use the values in the Sales column or return a text value based on a condition.
Sort is a type of function that arranges the values in a column or a range in ascending or descending order. A sort function cannot generate the data in the Sales_indicator column because it does not create a new column or return a text value based on a condition.
NEW QUESTION # 89
What technique is used to swap the values in rows and columns of tabular data?
- A. Regression.
- B. Classification.
- C. Association.
- D. Transposition.
Answer: D
NEW QUESTION # 90
A data analyst needs to calculate the mean for Q1 sales using the data set below:
Which of the following is the mean?
- A. $12,330.88
- B. $3,082.72
- C. $2,466.18
- D. $2,667.60
Answer: B
Explanation:
Explanation
The mean is the average of all the values in a data set. To calculate the mean, we add up all the values and divide by the number of values. In this case, the mean for Q1 sales is ($2,000 + $3,000 + $4,000 + $2,500 +
$3,500) / 5 = $3,082.72 References: CompTIA Data+ Certification Exam Objectives, page 9
NEW QUESTION # 91
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