WGU D204 EXAM QUESTIONS AND ANSWERS LATEST UPDATED 2024/2025 | SCORED A+

WGU D204 EXAM QUESTIONS AND ANSWERS LATEST UPDATED 2024/2025 | SCORED A+ "An analyst is looking at data that includes the customer's address, date of purchase, and age. Which question could be answered from this data? a. Which customer has spent the highest dollar amount? b. Which customer is most likely to respond favorably to the next marketing campaign? c. Which state has the highest total customers? d. Which product has sold the most in a certain state? - Correct Answer c. Which state has the highest total customers?" "Which type of analysis would be used to predict a binary outcome based on a set of independent variables? a. Hypothesis testing b. Descriptive statistics c. Regression d. Time Series - Correct Answer c. Regression" “What questions will data analytics consider improving 10% market share value to open new store in a different location? a. Get list of geographic areas b. Reduce staff pay by 10% c. Check compatible market value d. None of the above - Correct Answer C Check compatible market value" "Which activity in the data analytics life cycle occurs during the data acquisition phase and requires the most time and effort from the data analyst?: a. Selecting the data sources b. Importing data into a database c. Cleaning data d. Defining goals - Correct Answer c. Cleaning data" "In which phase of the data analytics life cycle does an analyst build a graph? a.Data exploration b.Discovery c.Predictive modeling d.Data acquisition - Correct Answer a.Data exploration" "An analyst applies a statistical formula to obtain the average temperature for a city over the last 20 years. Which phase of the data analytics life cycle is represented by this activity? a.Discovery b.Exploration c.Modeling d.Reporting - Correct Answer b.Exploration" "A data analytics project team is preparing to develop a predictive model that will be included within a business intelligence tool for upper management. Which step should be considered for inclusion when creating the project schedule? a. Model testing and validation for users b. Business intelligence tool interface training c. Model training and testing for stakeholders d. Business intelligence tool data transformation training . - Correct Answer b. Business intelligence tool interface training" "An analyst has been asked to define variables in a dataset that may contain missing values. Which activity of the analytics life cycle is represented? a.Data collection b.Data cleaning c.Transforming improperly text d.Disqualifying data sources - Correct Answer b.Data cleaning" "Which activity does an analyst perform in the discovery phase of the data analytics life cycle? a.Collecting data b.Cleaning data c.Identifying outliers d.Defining business goals - Correct Answer d.Defining business goals" "During which phase in the data analytics life cycle would a churn analysis be performed? a.Data cleaning churn b.Data acquisition c.Predictive analysis d.Representation and reporting - Correct Answer c.Predictive analysis" "What might be developed by data analysts when acquiring data from a data warehouse? a.The procedures for extracting files from the data warehouse b.The procedures for updating tables in the data warehouse c.Relational structures of tables d.The SQL queries of data within the tables - Correct Answer d.The SQL queries of data within the tables" "Which aspect of data exploration occurs when an analyst writes code to compile a bar graph of dog food sales per month? a. Performance of a correlation analysis b. Analysis of data anomalies c. Verification through visualization d. Determination of variabilities - Correct Answer c. Verification through visualization" "What does the critical path represent in data analytics project management? a.Minimum time to complete independent tasks b.Maximum time to complete independent tasks c.Minimum time to complete dependent tasks d.Maximum time to complete dependent tasks - Correct Answer c.Minimum time to complete dependent tasks" "An oil company uses robots and sensors to detect how pipeline corrosion changes over time. The collected data is then used in a predictive model that estimates when a pipe should be replaced. How does the predictive model serve this oil company? a. To minimize interruptions from maintenance shutdowns b. To minimize the need for workforce safety training c. To improve compliance with pipeline construction standards d. To improve compliance with pipeline disposal standards - Correct Answer a. To minimize interruptions from maintenance shutdowns" "What is the necessary requirement when collecting data from different data sources a.Data must be easy to understand b.Data must have defined structure c.Data must have great number of variable d.Data must have features related to business goals - Correct Answer d.Data must have features related to business goals" "Which mistake is commonly made during the predictive analytics phase? a. The data are separated into different sets. b. The variables are separated into response and independent variables. c. The data are prepared before the model is developed. d. The model is developed before the research question is known. - Correct Answer d. The model is developed before the research question is known." "Why might a data analyst resample a data set with replacement data in a data mining project? a.Misidentification of causation b.Wrong variables chosen for analyzation c.Too little data for training and testing data sets d.Skewed data resulting from outliers - Correct Answer c.Too little data for training and testing data sets" "Ex. The data team has processed the data and ... who will give the reports and explanation to higher level? a. Data Analyst b. Data owner c. Data researcher d.None of the above - Correct Answer c. Data researcher" "An analyst realizes that the data set has been reduced significantly, resulting in sample sizes that are too small. In which phase of the data analytics life cycle did this likely occur? a. Data exploration b. Data modeling c. Data mining d. Data discovery - Correct Answer c. Data mining" "What strategy will contribute to effective data representation and reporting? a.Creating a new training data set b.Selecting data for a prediction model c.Excluding unrelated data d.Extracting data from source repositories - Correct Answer c.Excluding unrelated data" "What are two purposes of the reporting phase of the data analytics life cycle? Select two answers: a.Provide the conclusions from the analysis in an engaging manner b.Provide a tool for decision-makers to import and analyze more data c.Provide actionable insights that can inform decision-making d.Provide an automated way for decision-makers to test their own models - Correct Answer a.Provide the conclusions from the analysis in an engaging manner c.Provide actionable insights that can inform decision-making" "A data analyst identified combinations of sales that frequently occur together in data over the past 5 years. Which phase of the data analytics life cycle is represented by this analysis? a.Data acquisition b.Representation and reporting c.Data mining d.Predictive modeling - Correct Answer c.Data mining" "During which phase of the data analytics life cycle does an analyst create a story to report data? a.Data acquisition b.Data mining c.Data reporting d.Data cleaning - Correct Answer c.Data reporting" "What is a characteristic of active listening? a.Active working on a task while listening to the speaker b.Seeking to understand the speaker's emotions and intent c.Focusing intently on the content of the message d.Waiting patiently to share one's own thoughts - Correct Answer b.Seeking to understand the speaker's emotions and intent" "What will be a consequence of poor attention to detail during the data exploration phase? a.Not enough variables will be considered in the analysis. b.The outcome of the analysis will be misaligned to business needs. c.The analyst will lack insight into the structure of the data set. d.The model will be built using the wrong data set. - Correct Answer c.The analyst will lack insight into the structure of the data set." "Data visualization can be considered an example of what? science without big data b.Data science with big data c.Both A and B d.None of the above - Correct Answer science without big data" "Who is a data science project unicorn? The mythical person with the following skills. a.Research, Analytics & Project Management b.Research and Analytics c.Project Management and Analytics d.Research and Project Management - Correct Answer a.Research, Analytics & Project Management" "___________makes predictions about future state of a company. Forecasting volumes for example. Based on last summer and winder, what will be sold next summer. a.Diagnostic Analytics b.Descriptive Analytics c.Predictive Analytics d.Prescriptive Analytics - Correct Answer c.Predictive Analytics" "_____________analysis to recommend solution. What product types and quantity should be sold to increase profits? a.Predictive Analytics b.Descriptive analytics c.Prescriptive Analytics d.Diagnostic Analytics - Correct Answer c.Prescriptive Analytics" "What is a common duty of a database administrator? a.Set project timelines, milestones, and goals b.Acquire funding for data analytics projects c.Maintain data on the IT infrastructure d.Define business needs at the onset of the project - Correct Answer c.Maintain data on the IT infrastructure" "What is an example of an external stakeholder for a data analytics project? a. President/CEO b. Project manager c. Regulatory body d. Data analyst's supervisor - Correct Answer c. Regulatory body" "Which party has the primary vision for a data analytics project and brings resources to complete it? a. Project sponsors b. Project managers c. Customers d. Data analysts - Correct Answer a. Project sponsors" "A data analytics project manager has been asked to complete a project on a very short timeline. Which action is likely to yield positive results? a.Outsource the skilled work to an unproven vendor b.Expand the team with experienced staff c.Require current team to work overtime d.Accept lowered quality standards - Correct Answer b.Expand the team with experienced staff" "Which type of project management problem occurs when a data mining task has started but a data acquisition task had not been completed? a.Scope b.Schedule c.Procedure d.Cost - Correct Answer b.Schedule" "How can an organization improve interprofessional communication among team members? a.By setting work priorities for team members b.By requiring weekly updates on project deadlines c.By using tools that provide a team-based collaboration space d.By ensuring employees can recite the desired outcomes - Correct Answer c.By using tools that provide a team-based collaboration space" "A data analyst needs to contact a specific member of the database administration team. Which method should be used to discover the person's email address? a.Ask the project's customers b.Ask the project's sponsors c.Send an email to project stakeholders d.Send an email to the team's manager - Correct Answer d.Send an email to the team's manager" "Which feature is commonly found in collaboration tools like Jira, Slack, Teams, and Pivotal Tracker? a.Real-time messaging b.Multivariate analysis c.Equation editor d.Source code management - Correct Answer a.Real-time messaging" "Which action can the project manager take to keep the team engaged in the analytics project? a.At the end of the project, the tam publishes an extensive research report and includes it in an email to project stakeholders. b.Throughout the project, the project manager communicates insights from the data analytics team and provides ideas of ways to act on those insights. c.At the end of the project, the project manager sends an email with the predictive model to the stakeholders so they can use it. d.Throughout the project, the project manager holds regular meetings so the entire data analytics team can showcase their work to different departments. - Correct Answer b.Throughout the project, the project manager communicates insights from the data analytics team and provides ideas of ways to act on those insights." "What is an effective method for a data analyst to prepare for a one-on-one meeting with a manager? a.Make a written list of all source code comments b.Ask other inside employees about the manager's reputation c.Bring a set of questions to draw on to keep the conversation going d.Create an essay summarizing steps in the source code. - Correct Answer c.Bring a set of questions to draw on to keep the conversation going" "A/B testing is performed on website, and it's known that there is 30% raise in A? a.Causal b.Normal c.All of the above d.None of the above - Correct Answer a.Causal" "A website was updated with filters, but still customers search the product? Reason a.The filters is not visible b.The customers know what product to purchase c.The customer wants to run multiple product search to compare d.None of the above - Correct Answer b.The customers know what product to purchase" "Which circumstance could cause a data analyst to have difficulty developing a model to answer a business question? a. Project scope creep b. Poor project budgeting c. Lack of relevant data sources d.Lack of stakeholder support - Correct Answer c. Lack of relevant data sources" "Which task would an analyst consider first during the discovery phase of the data analytics lifecycle? a. Seek out necessary data sources. b. Formulate a project plan. c. Identify project goals. d. Develop key metrics. - Correct Answer c. Identify project goals." "Numerical measurements of the amount of a toxic chemical substance are recorded in a large database. Which hypothesis can the data analyst answer through exploratory data analytic methods? a. The chemical will not cause harm to the habitat's native species. b. The chemical contamination is a result of human activity. c. The statistical distribution of the chemical measurements is normal. d. The best analytic approach for analyzing the data is linear regression. - Correct Answer c. The statistical distribution of the chemical measurements is normal." "A restaurant owner wants to sponsor a data analytics project to provide insights regarding hamburger sales before developing a strategy for increasing sales. Which question is framed appropriately for the data analytics project? a. What are the characteristics of customers who buy hamburgers? b. What does the supply and demand curve look like for hamburgers? c. Which discount coupons should we send to neighborhood residents? d. Which varieties of hamburgers are featured by competitors? - Correct Answer a. What are the characteristics of customers who buy hamburgers?" "Which organizational objective could be accomplished with a descriptive data analytics project using website request logs as a data source? a. Explain why web data transfer has increased 25% b. Estimate the traffic increase for a new product launch c. Improve the speed of server request processing d. Recommend a strategy to increase network capacity - Correct Answer a. Explain why web data transfer has increased 25%" "A travel website tabulated the results of their latest marketing campaign to understand the relationship of clicks-to-sales conversions. Which area of analytics does this activity represent? a. Prescriptive b. Proactive c. Descriptive d. Predictive - Correct Answer c. Descriptive" "Which outcome should be expected when working with data aggregated from multiple sources? Select two answers. a. Consistently named fields b. Inconsistently named fields c. Data needs cleaning d. Data does not need cleaning - Correct Answer b. Inconsistently named fields c. Data needs cleaning" "Which technique can a project manager use to foster the identification of quality data analytics questions? a. Organized project planning b. Rigorous data cleaning c. Frequent collaboration with the team d. Acquisition of abundant project resources - Correct Answer c. Frequent collaboration with the team" "A data analyst notices that the data selected for an analytics project is slightly misaligned with the research question. How can the data analyst resolve this situation? a. Halt the data analytics project to pursue a new research question b. Dive deeper into the data to identify data quality issues c. Adjust the research question to reframe the analysis d.Transform the data to a new metric - Correct Answer c. Adjust the research question to reframe the analysis" "An analyst has been asked to analyze the open-ended responses from customers on a satisfaction survey. Which type of data is the analyst working with on this project? a. Transactional b. Secondary c. Qualitative d. Quantitative - Correct Answer c. Qualitative" "A U.S. company collects and sells information on consumers. Which law prevents the company from collecting information on European Union consumers without their permission? a. Electronic Communications Privacy Act b. General Data Protection Regulation c. Stored Communication Act d. Information Nondiscrimination Act - Correct Answer b. General Data Protection Regulation" "A consumer sues an entertainment streaming company for leaking personal information regarding her viewing habits. Which ASA ethical standard did the streaming company violate? a. Conflict of interest b. Biases c. Privacy d. Unfair discrimination - Correct Answer c. Privacy" "A specific drug is manufactured for the treatment of depression. The company decides to ignore research results on an alternative, less expensive, drug treatment in order to make higher profits. Which ASA ethical standard has the company violated? a. Unfair discrimination b. Reproducible results c. Conflict of interest d. Transparent assumptions - Correct Answer c. Conflict of interest" "What is GDPR? a.General Data Protection Regulation b.General Data Protection Regression c.Good Data Protection Regulation d.Good Data Protection Regression - Correct Answer a.General Data Protection Regulation" "In data science, attention is drawn to forms of fairness, equity, and need. What does that mean to the Data Analyst? a.Legal issues b.Ethical issues c.Social issues d.Need issues - Correct Answer b.Ethical issues" "While analyzing data analyst notices that certain zip codes are not included in the data sample When researching the zip codes he realizes that the only zip codes represented are from the higher income areas of the state. What is this an example of? a.Gender bias b.Selection bias c.Age bias d.Confirmation bias - Correct Answer b.Selection bias" "The first step in the data science pathway is "define goals." Why is it the best place to start a data science project? a.Clarifying your project's goals up front will help you at every step of the project pathway, from framing questions, to choosing data and algorithms, and interpreting and applying your results. b.Goals influence every step of the data science pathway, from planning to wrangling to modeling to applying. c.Data Science project is different than other types of project d.Data Science project is based on the needs of the organization. - Correct Answer a.Clarifying your project's goals up front will help you at every step of the project pathway, from framing questions, to choosing data and algorithms, and interpreting and applying your results." "If a table or chart is publicly available, then it is also ethical to scrape the data for use in your data science project. a.True b.False - Correct Answer b.False" "An individual or group that has an interest in any decision or activity of an organization. a.Stakeholder b.Manager c.Project Manager d.Third Party - Correct Answer a.Stakeholder" "What is a project document that has information about the project stakeholders and identifies the people, groups, and organizations that have any interest in the work and the outcome? a.Stakeholder matrix b.Stakeholder register c.Risk matrix d.Stakeholder table - Correct Answer b.Stakeholder register" "Who is a project sponsor? a.A person responsible for identifying a project topic/scope that is well aligned with the strengths of the data analytics project and for providing access to necessary data and key support staff for continued project progress monitoring and timely feedback. b.A person who provides resources to the project c.A manager who is also a subject matter expert d.A third party who also a user of the project outcome - Correct Answer a. A person responsible for identifying a project topic/scope that is well aligned with the strengths of the data analytics project and for providing access to necessary data and key support staff for continued project progress monitoring and timely feedback." "What is an iron triangle? a.A project budget b.The triple constraints c.The project schedule d.Quality - Correct Answer b.The triple constraints" "What technique uses charts and diagrams to schedule and estimate tasks and task durations. a.Scheduler b.Gantt chart c.Visualization map d.Estimating technique - Correct Answer b.Gantt chart" "What do open-source software tools and widely available analysis tools, such as spreadsheets, help accomplish? a. Data schemas b. Data democratization d. Data security c. Data compliance - Correct Answer b. Data democratization" "What is a feature of SQL? Choose 2 answers. a. It is an object-oriented programming language. b. The basic language is the same across database servers. c. It has built-in chart and graph creation. d. It is used with structured data and unstructured data. - Correct Answer b. The basic language is the same across database servers. d. It is used with structured data and unstructured data." "What is an example of unstructured data? a. Names, dates, and addresses b. Credit card numbers that include a credit score c. Text messages that include video d. Height, weight, and gender - Correct Answer c. Text messages that include video" "Which tool should a researcher use to conduct a univariate analysis on complex statistical data? a. Tableau b. Power BI c. R d. SQL - Correct Answer c. R" "Which statistical technique should be used to draw conclusions about an entire population based on a representative sample? a. Correlation b. Bayes theorem c. Hypothesis testing d. Measures of central tendency - Correct Answer c. Hypothesis testing" "What is an example of random sampling of college students? a. Surveying students chosen arbitrarily from around the entire college campus b. Surveying every student in the college library c. Surveying students chosen arbitrarily in the library of the university d. Surveying every student on campus - Correct Answer a. Surveying students chosen arbitrarily from around the entire college campus" "Which type of data analysis is appropriate if the goal is to minimize the cost of a diet, using a data set consisting of the following variables: protein content, fat content, and cost per unit? a. Decision trees b. Calculus c. Optimization d. Bayes' theorem - Correct Answer c. Optimization" "Which technique can be used to determine the likelihood that a positive diagnostic test result indicates whether the disease is actually present? a. Bayes' theorem b. Central limit theorem c. Regression d. Optimization - Correct Answer a. Bayes' theorem" "Which concept should be considered when choosing variables for inclusion in a linear regression model? a. Feasibility of merging the variables b. Feasibility of controlling the variables c. Feasibility of testing the variables d. Feasibility of classifying the variables - Correct Answer b. Feasibility of controlling the variables" "A neural network algorithm in machine learning endeavors to recognize underlying relationships in a set of data. What does this process mimic? a. The way a computer processes data b. The way the human brain operates c. The way architects establish functionality d.The way that social media builds networks - Correct Answer b. The way the human brain operates" "Which characteristics are used to group data together in a cluster analysis? Choose 2 answers. a. Distance b. Similarity c. Shape d. Size - Correct Answer a. Distance b. Similarity" "Which tool has libraries that expand its visualization capabilities? a. Python b. Tableau c. Adobe Infographics d. D - Correct Answer a. Python" "Which tools can be used for performing statistics and creating interactive data visualization for large datasets from various sources? Choose 2 answers. a. Gantt Chart b. SQL c. Tableau d. R - Correct Answer c. Tableau d. R" "Which type of data representation should a data analyst use to display expense categories as a percentage of total business expenses? a. Map visualization b. Line chart c. Pie chart d. Scatter plot - Correct Answer c. Pie chart" "The second group of steps in the data science pathway are known as "wrangling." What does wrangling mean in this context? a. getting data, cleaning data, exploring data, and refining data b. Cleaning and refining data c. Combining and reporting data d. combining, exploring, refining, and reporting data. - Correct Answer a. getting data, cleaning data, exploring data, and refining data" "Which of the following are tools or techniques for sourcing data? Select two. a.Data scraping tools b.API c.Open data d.In-house data e.SQL - Correct Answer a.Data scraping tools e.SQL" "What is the difference between "general AI" and "narrow AI"? a. General AI attempts to build general purpose thinking machine, while narrow AI focuses on algorithms for specific tasks like translating language. b. General AI has historically focused on creating machines that cannot solve any problems, while narrow AI focuses on not well-defined problems. c. General AI is where most of the recent technical growth has occurred while narrow AI is not. d. None of the above - Correct Answer a. General AI attempts to build general purpose thinking machine, while narrow AI focuses on algorithms for specific tasks like translating language." "Data science methods can contribute to business intelligence by which tasks? a.Modeling b.Finding trends and anomalies in the data c.All of these answers d.Collecting and cleaning data - Correct Answer c.All of these answers" "Neural networks can consist of millions of interconnected nodes processing information in complicated ways. What is an important consequence of this fact? ts can vary unpredictably from one moment to another. opers sometimes have to rely on methods similar to those of psychological researchers to infer what information is being processed and how. c.Both A and B d.None of the above - Correct Answer opers sometimes have to rely on methods similar to those of psychological researchers to infer what information is being processed and how." "What are some of practical methods for identifying cause-and-effect relationships in your data? -experiments b.The use of black-box machine learning algorithms c.Optimization tools d.There is no feasible way - Correct Answer b.The use of black-box machine learning algorithms" "Predictive analytics focuses on predicting what's likely to happen in the future. On the other hand, prescriptive analytics focuses on which of these? a.Identifying cause-and-effect relationship in your data b.Modeling health-related behaviors c.Historical patterns in customer data d.Providing baseline estimate of customer behavior. - Correct Answer a.Identifying cause-and-effect relationship in your data" "What are the defining characteristics of open data? a.Data that is free to use with no cost and no restrictions b.Data that can be downloaded from the internet c.Data that includes personally identifiable information d.Data that was gathered and stored with open-source hardware and software - Correct Answer a.Data that is free to use with no cost and no restrictions" "What kind of data can be accessed with APIs? proprietary and open data b.Open data c.Proprietary data d.None of them - Correct Answer proprietary and open data" "Which is a key characteristic of "tidy data"? a.There are not missing values b.The data are encoded in UTF-8 c.The data consists of only integer value d.Each column represents a variable - Correct Answer d.Each column represents a variable" "Built on top of Matplotlib are some wrappers called _____________ and _____________. _______________ is great for data structures and as a data analysis tool, which is used a lot with other libraries as well. _______________, well, it makes things sexy. It's awesome because it has built-in themes and color palettes, which can make your life really easy down the road. Ans: Pandas, Seaborn, Pandas, Seaborn - Correct Answer Ans: Pandas, Seaborn, Pandas, Seaborn" "When you're planning your data project, try to _____________________ that will allow you to leverage the data you currently have. a.Develop hypothesis b.Change data set c.Construct questions d.Install a package - Correct Answer c.Construct questions" "_______________________ are responsible for trying to convince the department to give the data science team access to data. They also work to distribute any results. They'll go to the meetings and present the team's results. a.Project Manager b.Data Analyst c.Stakeholder d.Project Owner - Correct Answer a.Project Manager" "Congress passed _______________________________ to regulate how employers and insurance companies can, if at all, access our genetic information for purposes of making decisions about whether we're employable or whether we're insurable. a.The Genetic Information Nondiscrimination Act, otherwise known as GINA b.Federal Aviation Act otherwise know as FAA c.Family Education Rights and Privay Act otherwise known as FERPA. d.European Data Protection Law and Practice otherwise known as GDPR - Correct Answer a.The Genetic Information Nondiscrimination Act, otherwise known as GINA" "________________ is a Python toolbox for geographic visualizations. It's prime usage is for maps; therefore, it is quite powerful. a.Geoplotlib b.Matplotlib c.Pandas d.Numpy - Correct Answer a.Geoplotlib" "What can be identified using a box plot a.Frequency b.Collection c.Interquartile range d.Mean - Correct Answer c.Interquartile range" "Which is a key characteristic of "tidy data"? a.There are no missing values b.The data are encoded in UTF-8 c.The data consists of only integer values. d.Each column represents a variable. - Correct Answer d.Each column represents a variable." "What is potentially a major advantage of using in-house data? a.You may be able to talk with the people who created the datasets. b.You may be able to use a software to extract the data c.It is structured so you do have to prepare the data d.It is clean and free of outliers because you typed them in your self - Correct Answer a.You may be able to talk with the people who created the datasets." "The European Union's General Data Protection Regulation (GDPR) impacts the use of neural networks in what way? a.The GDPR includes a "right to explanation" that may be difficult to meet with the frequently-opaque functioning of neural networks. b.The GDPR does not include a "right to explanation" that may be difficult to meet with the frequently-opaque functioning of neural networks. c.There is no relationship between neural networks and GDPR d.None of the above - Correct Answer a.The GDPR includes a "right to explanation" that may be difficult to meet with the frequently-opaque functioning of neural networks." "Data science is an interdisciplinary field composed of ------------, --------- and ---------------, and ------------ that seem to derive insight from data. The goal is to transform data into knowledge that can be used to make rational decision. a.Computer science, math and statistics, and business b.Computer science, math and statistics, and domain knowledge c.Information technology, statistics, and domain knowledge d.Information technology, social science and statistics, and domain knowledge - Correct Answer b.Computer science, math and statistics, and domain knowledge" "The demand for data science, as measured by the number of job ads, has gone up by 29% in just one year. How much has the availability of data scientists, as measured by job searches, gone up in the same time? a.49 b.14 c.50 d.20 - Correct Answer b.14" "In data science, what is meant by a "unicorn"? a. Database startups, biz acumen, creativity and planning. b. Full-stack data scientist who can do everything at a professional level. c. Web analysts, SQL Programmers, and visualizers. d. Domain specific researchers, physicists and statisticians. - Correct Answer b. Full-stack data scientist who can do everything at a professional level." "What is a Gantt Chart used for? a. Scheduling task and task durations b. Estimating daily cost c. Determining the triple constraint of project management d. Developing scope - Correct Answer a. Scheduling task and task durations" "Is critical path risk-based or time-based? a. Risk-based. b. Time-based c. Both d. None of the above. - Correct Answer b. Time-based" "What is the relationship between predictive and prescriptive analytics? a. Future outcomes b. Alternative outcomes c. Both are based on analysis d. They are not different - Correct Answer a. Future outcomes" "If an organization wants to buy or build a data analytics project, what would it consider? Select two: a. Time b. Cost c. Risk d. Estimate - Correct Answer a. Time b. Cost" "Data quality is measured in terms of? a. Validity, reliability, uniqueness, relevance, accuracy, and completeness. b. Timeliness, size, type, source, and structure c. Both a and b d. None of the above - Correct Answer a. Validity, reliability, uniqueness, relevance, accuracy, and completeness." "What are the triple constraints of project management? a. Cost, quality, and requirement b. Cost, time, and quality c. Time, money, and risk d. Time, cost, and risk - Correct Answer b. Cost, time, and quality" "What keywords are associated with the Business Understanding phase of the life cycle? a. questions, stakeholders, and resources. b. money, manpower, and materials c. money, work, and delivery d. stakeholders, networking, and outcomes. - Correct Answer a. questions, stakeholders, and resources." "What is the data type used in 2019 for webservices? a.JSON b.XML c.CSV d.Js.3 - Correct Answer a.JSON JSON - JavaScript Object Notation, a lightweight format for storing and transporting data on networks. Also, an open standard file format, and data interchange format, uses human-readable text to store and transmit data objects consisting of attribute-value pairs and array data" "A data set has K variables, and the classifying method has the following steps: compare levels on nearby data, assign a new case to a category of nearby beta, locate the case in a k-dimensional space, in which order should the steps be applied a. Assign compare locate b. Compare assign locate c. Locate compare assign d. Locate assign compare - Correct Answer c. Locate compare assign"