This page was exported from IT Certification Exam Braindumps [ http://blog.braindumpsit.com ] Export date:Sat Apr 12 13:30:11 2025 / +0000 GMT ___________________________________________________ Title: [Dec 17, 2023] Powerful DA0-001 PDF Dumps for DA0-001 Questions [Q26-Q47] --------------------------------------------------- [Dec 17, 2023] Powerful DA0-001 PDF Dumps for DA0-001 Questions Authentic DA0-001 Dumps - Free PDF Questions to Pass The primary aim of the CompTIA DA0-001 (CompTIA Data+) Certification Exam is to validate an individual's fundamental understanding of data principles and data management solutions. The successful completion of DA0-001 exam validates that one has the fundamental data knowledge and skills necessary for an entry-level data analyst, data technician, or data operator role. Many IT hiring managers look for the CompTIA Data+ certification as evidence of a candidate's baseline data competencies, making it an excellent starting point for those pursuing a broader career in data science.   QUESTION 26An 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?  Include a bar chart using the site and the percentage of new customers data.  Include a line chart using the site and the percentage of new customers data.  Include a pie chart using the site and percentage of new custorners data.  Include a scatter chart using the site and the percent of new customers data. ExplanationThe best type of chart to display the data is A. Include a bar chart using the site and the percentage of new customers data.A bar chart is a good choice for comparing categorical data with numerical data, such as the site and the percentage of new customers. A bar chart can show the relative differences between the sites and highlight the site with the highest percentage of new customers. A bar chart can also be easily labeled and formatted to make the data clear and understandable.A line chart is not suitable for this data, because it is used to show trends or changes over time, which is not relevant for the site and the percentage of new customers data. A line chart would also be confusing and misleading, as it would imply a connection or correlation between the sites that does not exist.A pie chart is also not a good choice for this data, because it is used to show the proportion of a whole, not the comparison of different categories. A pie chart would also be difficult to read and interpret, as it would require labels or legends to identify the sites and their percentages. A pie chart would also not be able to show the exact values of the percentages, only their relative sizes.A scatter chart is another inappropriate option for this data, because it is used to show the relationship or correlation between two numerical variables, not between a categorical and a numerical variable. A scatter chart would also be cluttered and unclear, as it would plot each site as a point on a coordinate plane, without any labels or axes. A scatter chart would also not be able to show the differences or rankings between the sites and their percentages.QUESTION 27A recurring event is being stored in two databases that are housed in different geographical locations. A data analyst notices the event is being logged three hours earlier in one database than in the other database. Which of the following is the MOST likely cause of the issue?  The data analyst is not querying the databases correctly.  The databases are recording different events.  The databases are recording the event in different time zones.  The second database is logging incorrectly. ExplanationThe most likely cause of the issue is that the databases are recording the event in different time zones. A time zone is a region that observes a uniform standard time for legal, commercial, and social purposes. Different time zones have different offsets from Coordinated Universal Time (UTC), which is the primary time standard by which the world regulates clocks and time. For example, UTC-5 is five hours behind UTC, while UTC+3 is three hours ahead of UTC. If an event is being stored in two databases that are housed in different geographical locations with different time zones, it may appear that the event is being logged at different times, depending on how the databases handle the time zone conversion. For example, if one database records the event in UTC-5 and another database records the event in UTC+3, then an event that occurs at 12:00 PM in UTC-5 will appear as 9:00 AM in UTC+3. The other options are not likely causes of the issue, as they are either unrelated or implausible. The data analyst is not querying the databases incorrectly, as this would not affect the time stamps of the events. The databases are not recording different events, as they are supposed to record the same recurring event. The second database is not logging incorrectly, as there is no evidence or reason to assume that. Reference: [Time zone – Wikipedia]QUESTION 28An analyst has received the requirements for an internal user dashboard. The analyst confirms the data sources and then creates a wireframe. Which of the following is the NEXT step the analyst should take in the dashboard creation process?  Optimize the dashboard.  Create subscriptions.  Get stakeholder approval.  Deploy to production. QUESTION 29Which one of the following R values shows strongest positive correlation between two variables?  0  1.6  0.9  -0.4 QUESTION 30Analytics reports should follow corporate style guidelines.  True.  False. QUESTION 31Given the data below:In which of the following file formats is the data presented?  Xs  CSV  RIF  XML ExplanationThe data is presented in a CSV (comma-separated values) file format, which is a plain text format that stores tabular data. Each line of the file is a data record, and each record consists of one or more fields separated by commas. The first line of the file usually contains the names of the fields, also known as the header. In this case, the data has four fields: Name, Age, Gender, and Occupation. Therefore, the correct answer is B.References: CSV File (What It Is & How to Open One), Comma-separated values – WikipediaQUESTION 32Under which of the following circumstances should the null hypothesis be accepted when a = 0.05?  When p is 0.00003  When p is 0.001  When p is 0.04  When p is 0.06 ExplanationThe null hypothesis should be accepted when the p-value is greater than the alpha level, which is the significance level of the test. The p-value is the probability of obtaining a test statistic at least as extreme as the one observed in the sample, assuming that the null hypothesis is true. The alpha level is the probability of rejecting the null hypothesis when it is true, which is also known as a type I error12.In this case, the alpha level is 0.05, which means that there is a 5% chance of rejecting the null hypothesis when it is true. Therefore, to reject the null hypothesis, the p-value must be less than or equal to 0.05, which indicates that the test statistic is very unlikely to occur by chance under the null hypothesis. Conversely, to accept the null hypothesis, the p-value must be greater than 0.05, which indicates that the test statistic is not very unlikely to occur by chance under the null hypothesis.Among the four options, only option D has a p-value that is greater than 0.05 (p = 0.06). Therefore, option D is the correct answer. When p = 0.06, it means that there is a 6% chance of obtaining a test statistic at least as extreme as the one observed in the sample, assuming that the null hypothesis is true. This probability is not very low, and therefore does not provide enough evidence to reject the null hypothesis.QUESTION 33An analyst is working with the income data of suburban families in the United States. The data set has a lot of outliers, and the analyst needs to provide a measure that represents the typical income. Which of the following would BEST fulfill the analyst’s goal?  Median  Mean  Mode  Standard deviation Explanationhis is because median is a type of statistical measure that represents the typical value or central tendency of a data set, which means that it divides the data set into two equal halves, such that half of the values are above it and half are below it. Median can be used to provide a measure that represents the typical income of suburban families in the United States, especially when the data set has a lot of outliers, which means that it has values that are unusually high or low compared to the rest of the data set. Median can provide a measure that represents the typical income of suburban families in the United States, because it is not affected or skewed by the outliers, as it only depends on the middle value or the middle two values of the data set, regardless of how extreme or distant the outliers are. For example, median can provide a measure that represents the typical income of suburban families in the United States, by finding the income value that splits the data set into two equal groups of families, such that 50% of the families have higher incomes and 50% have lower incomes.The other statistical measures are not the best measures to represent the typical income of suburban families in the United States. Here is why:Mean is a type of statistical measure that represents the average value or central tendency of a data set, which means that it is the sum of all the values divided by the number of values. Mean is not a good measure to represent the typical income of suburban families in the United States, especially when the data set has a lot of outliers, because it is affected or skewed by the outliers, as it takes into account all the values in the data set, regardless of how extreme or distant they are. For example, mean can provide a measure that does not represent the typical income of suburban families in the United States, by finding the income value that is influenced by a few very high or very low incomes, which could make it higher or lower than most of the incomes in the data set.Mode is a type of statistical measure that represents the most frequent value or mode of a data set, which means that it is the value that occurs most often in the data set. Mode is not a good measure to represent the typical income of suburban families in the United States, especially when the data set has a lot of outliers, because it is not representative or indicative of the central tendency or distribution of the data set, as it only depends on the count or occurrence of a single value or a few values in the data set, regardless of how common or rare they are. For example, mode can provide a measure that does not represent the typical income of suburban families in the United States, by finding the income value that is repeated more often than others, which could be an outlier or an anomaly in the data set.Standard deviation is a type of statistical measure that represents the amount of dispersion or variation of a data set, which means that it quantifies how much the values in a data set vary or deviate from the mean or average of the data set. Standard deviation is not a measure that represents the typical income of suburban families in the United States, but rather a measure that describes the spread or distribution of their incomes, as well as identifies any outliers or extreme values in their incomes. For example, standard deviation can provide a measure that describes how diverse or homogeneous their incomes are, as well as how far their incomes are from their average income.QUESTION 34Data validation should occur only when data is initially brought into a organization.  True.  False. QUESTION 35Which of the following is a characteristic of a relational database?  It utilizes key-value pairs.  It has undefined fields.  It is structured in nature.  It uses minimal memory. QUESTION 36Given the following data:Which of the following BEST describes the data set?  There is data bias.  The data is incomplete.  The data is inconsistent.  The data is outliers. ExplanationThis 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.QUESTION 37The duration of a phone call in milliseconds is an example of:  ordinal data.  nominal data.  boolean data.  continuous data. ExplanationThe 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.QUESTION 38A data analyst needs to calculate the mean for Q1 sales using the data set below:Which of the following is the mean?  $2,466.18  $2,667.60  $3,082.72  $12,330.88 QUESTION 39Samantha needs to share a list of her organization’s top 50 customers with the VP of sales.She would like to include the name of the customer, the business they represent, their contact information, and their total sales over the past year.The VP does not have any specialized analytics skills or software but would like to make some personal notes on the dataset.What would be the best tool for Samantha to use to share this information?  Power BI.  Microsoft Excel.  Minitab.  SAS. Microsoft Excel.This scenario presents a very simple use case where the business leader needs a dataset in an easy-to-access form and will not be performing any detailed analysis.A simple spreadsheet, such as Microsoft Excel, would be the best tool for this job.There is no need to use a statistical analysis package, such as SAS or Minitab, as this would likely confuse the VP without adding any value. The same is true of an integrated analytics suite, such as Power BI.QUESTION 40An 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?  The date of the dashboard build  The data refresh date  A report summary  Frequently asked questions ExplanationThis 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.QUESTION 41A 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?  Recode the variables.  Calculate the percentiles of the variables.  Calculate the standard deviations of the variables.  Normalize the variables. QUESTION 42Given 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 ExplanationThis 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).QUESTION 43Jhon 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.  Duplicate Data.  Redundant Data.  Invalid Data.  Missing Data. 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.QUESTION 44Which one of the following would not normally be considered a summary statistic?  Standard deviation.  Variance.  z-score.  Mean. 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.QUESTION 45Which one of the following programming languages is specifically designed for use in analytics applications?  Python.  R  C++  Java. QUESTION 46A sales director has requested a report for individual team members within the division be developed. The director would like the report to be shared with all team members, but individual team members should not be identifiable within the report Which of the following access requirements would support the director’s needs?  Create an acceptable use policy for the sales data.  Release the report as user-group-based access and include data masking.  Get a data use agreement from the individual team members.  Provide the report based on role and include data encryption. QUESTION 47Given the following report:Which of the following components need to be added to ensure the report is point-in-time and static? (Choose two.)  A control group for the phrases  A summary of the KPIs  Filter buttons for the status  The date when the report was last accessed  The time period the report covers  The date on which the report was run  Loading … CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is a vendor-neutral certification exam designed to validate the skills and knowledge of a data professional. DA0-001 exam is ideal for individuals who are looking to establish a career in the field of data analytics, management, and processing. It is also suitable for those who are already working in the industry and want to enhance their skills and knowledge.   Guaranteed Accomplishment with Newest Dec-2023 FREE: https://www.braindumpsit.com/DA0-001_real-exam.html --------------------------------------------------- Images: https://blog.braindumpsit.com/wp-content/plugins/watu/loading.gif https://blog.braindumpsit.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2023-12-17 12:25:33 Post date GMT: 2023-12-17 12:25:33 Post modified date: 2023-12-17 12:25:33 Post modified date GMT: 2023-12-17 12:25:33