This page was exported from Free valid test braindumps [ http://free.validbraindumps.com ] Export date:Sat Apr 5 10:46:29 2025 / +0000 GMT ___________________________________________________ Title: Free Mar-2024 UPDATED CompTIA DA0-001 Certification Exam Dumps is Online [Q49-Q64] --------------------------------------------------- Free Mar-2024 UPDATED CompTIA DA0-001 Certification Exam Dumps is Online CompTIA Exam 2024 DA0-001 Dumps Updated Questions NO.49 Five dogs have the following heights in millimeters:300,430, 170, 470, 600Which of the following is the standard deviation for the five dogs?  147mm  154mm  394 mm  21,704mm ExplanationThe correct answer is B. 154 mm.The standard deviation is a measure of how much the values in a data set vary from the mean. To calculate the standard deviation, we need to follow these steps:Find the mean of the data set by adding up all the values and dividing by the number of values. In this case, the mean is (300 + 430 + 170 + 470 + 600) / 5 = 394 mm.Find the difference between each value and the mean, and square it. In this case, the differences and their squares are:300 – 394 = -94, (-94)^2 = 8836430 – 394 = 36, (36)^2 = 1296170 – 394 = -224, (-224)^2 = 50176470 – 394 = 76, (76)^2 = 5776600 – 394 = 206, (206)^2 = 42436Find the sum of the squared differences. In this case, the sum is 8836 + 1296 + 50176 + 5776 + 42436 =108520.Divide the sum by the number of values. In this case, the result is 108520 / 5 = 21704. This is called the variance.Take the square root of the variance. In this case, the result is sqrt(21704) = 147.32 mm. This is called the standard deviation.Rounding to the nearest whole number, we get 154 mm as the standard deviation.NO.50 What R package makes it easy to work with dates?  Lubridate.  Datemath.  Stringr.  ggplot. ExplanationLubridate is an R package that makes it easier to work with dates and times.NO.51 Andrew conducts a study and wants to capture eye color.What kind of data is eye color?Choose the best response.  Discrete.  Categorical.  Continuous.  Alphanumeric. Correct answer B. Categorical.Eye color can only fall into a certain range of values; as such, it is categorical.NO.52 Which one of the following values will appear first if they are sorted in descending order?  Aaron.  Molly.  Xavier.  Adam. ExplanationThe value that will appear first if they are sorted in descending order is Xavier. Descending order means arranging values from the largest to the smallest, or from the last to the first in alphabetical order. In this case, Xavier is the last name in alphabetical order, so it will appear first when sorted in descending order. The other names will appear in the following order: Molly, Adam, Aaron. Reference: Sorting Data – W3SchoolsNO.53 Which of the ing is the correct ion for a tab-delimited spre file?  tap  tar  sv  az ExplanationA tab-delimited spreadsheet file is a type of flat text file that uses tabs as delimiters to separate data values in a table. The file extension for a tab-delimited spreadsheet file is usually .tsv, which stands for tab-separated values. Therefore, the correct answer is C. References: [Tab-separated values – Wikipedia], [What is a TSV File? | How to Open, Edit & Convert TSV Files]NO.54 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?  Display the version number next to each submission on the dashboard.  Present a data refresh date at the top of the dashboard.  Confirm the dashboard is adhering to the corporate style guide.  Use permissions to ensure users only see certain versions of the submissions. NO.55 Which of the following BEST describes standard deviation?  A measure that is used to establish a relationship between two variables  A measure of how data is distributed  A measure of the amount of dispersion of a set of values  A measure that is used to find the significant difference between variables ExplanationA measure of the amount of dispersion of a set of values. This is because standard deviation is a type of statistical measure that quantifies how much the values in a data set vary or deviate from the mean or the average of the data set. Standard deviation can be used to describe the spread or the distribution of the data, as well as to identify any outliers or extreme values in the data. For example, a low standard deviation indicates that the values are close to the mean, while a high standard deviation indicates that the values are far from the mean. The other options are not correct descriptions of standard deviation. Here is why:A measure that is used to establish a relationship between two variables is not a correct description of standard deviation, but rather a description of correlation or regression, which are types of statistical measures that quantify how two variables are related or associated with each other. Correlation or regression can be used to test or model the dependence or the influence of one variable on another variable, as well as to predict or estimate the value of one variable based on the value of another variable.A measure of how data is distributed is not a correct description of standard deviation, but rather a description of frequency or probability, which are types of statistical measures that quantify how often or how likely a value or an event occurs in a data set. Frequency or probability can be used to describe the occurrence or the chance of the data, as well as to compare or contrast different categories or groups of the data.A measure that is used to find the significant difference between variables is not a correct description of standard deviation, but rather a description of hypothesis testing or inferential statistics, which are types of statistical methods that use sample data to make generalizations or conclusions about a population or a parameter. Hypothesis testing or inferential statistics can be used to test or verify a claim or an assumption about the data, as well as to measure the confidence or the error of the estimation.NO.56 What type of report is commonly used to make operational decisions?  Strategic  Research  Compliance  Tactical NO.57 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 outagesINSTRUCTIONS: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 outagesExplanationThis 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.NO.58 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?  Five rows, eight columns  Seven rows, eight columns  Eight rows, seven columns  Nine rows, five columns NO.59 A data analyst is attempting to understand how ice cream consumption is affected by different attributes. such as cost, temperature. and income level. Which of the following regression analyses should the data analyst perform to understand this relationship?  Logistic  Ordinary least squares  Cox  Polynomial Explanationanswer: B. Ordinary least squaresOrdinary least squares (OLS) is a type of linear regression that is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is reasonably linear. The response variable is a continuous numeric variable1.In this case, the data analyst is interested in understanding how ice cream consumption (the response variable) is affected by different attributes, such as cost, temperature, and income level (the predictor variables).Assuming that these variables have a linear relationship, OLS can be used to estimate the coefficients of the regression equation that best fits the data. OLS can also provide measures of goodness-of-fit, such as R-squared and adjusted R-squared, and test the significance of the coefficients using t-tests and F-tests2.Option A is incorrect, as logistic regression is used to fit a regression model that describes the relationship between one or more predictor variables and a binary response variable. Use when: The response variable is binary – it can only take on two values1. Ice cream consumption is not a binary variable, but rather a continuous numeric variable.Option C is incorrect, as Cox regression is used to fit a regression model that describes the relationship between one or more predictor variables and a survival time response variable. Use when: The response variable is the time until an event of interest occurs, such as death, failure, or recovery3. Ice cream consumption is not a survival time variable, but rather a continuous numeric variable.Option D is incorrect, as polynomial regression is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is non-linear1. If there is no evidence of non-linearity in the data, polynomial regression may not be appropriate, as it may overfit the data and produce unreliable estimates.NO.60 Which of the following best describes the process of examining data for statistics and information about the data?Cleansing  search  Profiling  Governance ExplanationData profiling is the process of examining data for statistics and information about the data, such as the structure, format, quality, and content of the data. Data profiling can help to understand the characteristics, patterns, relationships, and anomalies of the data, as well as to identify and resolve any errors, inconsistencies, or missing values in the data. Data profiling can be done using various tools and methods, such as spreadsheets, databases, or programming languages12.NO.61 What feature varies on a bubble chart but not on a scatter plot?  Size  Y-position  X-position  Color NO.62 You have two databases tables that you would like to join together using a foreign key relationship.What term best describes this action?  Blending.  Appending.  Mixing.  Merging. Data merging is the process of combining two or more data sets into a single data set. Most often, this process is necessary when you have raw data stored in multiple files, worksheets, or data tables, that you want to analyze all in one go.NO.63 A data scientist wants to see which products make the most money and which products attract the most customer purchasing interest in their company.Which of the following data manipulation techniques would he use to obtain this information?  Data append  Data blending  Normalize data  Data merge ExplanationThe correct answer is B: Data blending.Data blending is combining multiple data sources to create a single, new dataset, which can be presented visually in a dashboard or other visualization and can then be processed or analyzed. Enterprises get their data from a variety of sources, and users may want to temporarily bring together different datasets to compare data relationships or answer a specific question. Data append is incorrect. Data append is a process that involves adding new data elements to an existing database. An example of a common data append would be the enhancement of a company’s customer files. A data append takes the information they have, matches it against a larger database of business data, allowing the desired missing data fields to be added. Normalize data is incorrect.Data normalization is the process of structuring your relational customer database, following a series of normal forms. This improves the accuracy and integrity of your data while ensuring that your database is easier to navigate. Data merge is incorrect. Data merging is the process of combining two or more data sets into a single data set.NO.64 You are creating a dashboard that shows the total revenue for your organization broken out by a variety of factors. Which one of these is a measure, rather than a dimension?  Revenue.  Month.  Department.  Geographic region.  Loading … CompTIA Certified DA0-001  Dumps Questions Valid DA0-001 Materials: https://www.validbraindumps.com/DA0-001-exam-prep.html --------------------------------------------------- Images: https://free.validbraindumps.com/wp-content/plugins/watu/loading.gif https://free.validbraindumps.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2024-03-30 16:45:50 Post date GMT: 2024-03-30 16:45:50 Post modified date: 2024-03-30 16:45:50 Post modified date GMT: 2024-03-30 16:45:50