Question: QUESTION 1 The most important resource you need through an analytics project is A Access to commercial software packages Access to domain experts and IT

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QUESTION 1 The most important resource you need through an analytics project is A Access to commercial software packages Access to domain experts and IT support team B. Third-party data sources D. Good coffee and sleeping pills as you are likely to get mad throughout the project (probably true- but don't choose!) QUESTION 2 Which of the following statements is correct? A min-max normalized variable can have a negative value OA A z-transformed variable is always positive B. The mean of a min-max transformed variable is always 0.5 OC. OD. None of the above statements are correct QUESTION 3 Which of the followings can be seen as a source of data quality problem during the data-gathering phase? Lack of uniform standards for content and formats . Measurement errors . Parallel data entry OC. OD. All of the above QUESTION 4 During which phase of an analytic project you should discuss and agree on the infrastructure and hardware resources that you need for the project? Model planning . OB. Operationalization Discovery OC. Data preparation OD QUESTION 5 Consider a numeric variable that is highly skewed. Which of the following data transformation is appropriate for this attribute? PCA transformation . B. Log transformation C. Dummy encoding Normalization D. QUESTION 6 Phase. Formalizing the scope of the project should happen during the A Model planning Discovery B. C. Data preparation D. Operationalization QUESTION 7 Information describing data is called Atomic data . . Commentary Data . Meta data OC. D. None of the above QUESTION 8 Which of the following is not a focus/goal of the discovery phase of an analytics project? A. Accessing the data needed for the project Discussing previous similar projects . Understanding the Business Problem . OD. Discussing the requirements and implications of project operationalization QUESTIONS Which of the followings is a characteristic of Agile software development approach? A. Incorporating minimal system into production Small to medium-sized teams o Simple design O C. OD. All of the above QUESTION 10 During the daily scrum The team members provide a quick update and share and share coordination information OA . The team discusses the features that should be taken from the product backlog and included in the current or next sprint OC. The scrum master determines the tasks to be completed by each of the team members for the day O D. All of the above In scrum methodology, which of the following is NOT used as a metric to estimate the story point for a task? Amount of work O A Team members' competence OB. OC. The complexity of the task OD. Uncertainty factors related to the task QUESTION 12 is the process of extracting features from raw data via data mining techniques. Variable decomposition OA O B. Feature clustering Topic modeling OC. Feature Engineering OD. QUESTION 13 contains both new functions as well as technology enhancements envisioned for a product. . Product Catalog OB. Product Roadmap OC. Product Release Note OD. Product Backlog QUESTION 14 When dealing with datasets, we can always assume that data missingness has nothing to do with the observation being studied and it's completely random. O A. True OB. False QUESTION 15 Which of the followings is not one of the Agile projects management goals? O A. Close collaboration with the customer and allowing changing requirements B. Promoting and relying on self-organized teams with highly motivated members Using a top-down process to create a set of static goals C. Delivering working pieces of software continuously QUESTION 16 It is not a good idea that the Scrum Master and the Product Owner to be the same individual. A. TRUE B. FALSE QUESTION 17 Managing Predictive Analytics projects are generally more complex than traditional software development projects, because these projects tend to be more OA Iterative Exploratory . Computationally complex OC D. All of the above QUESTION 18 Exploratory Data Analysis can be used to Discover patterns A. Spot anomalies B. Check assumptions OC. D. All of the above QUESTION 19 Which of the followings is NOT one of the components of conventional definition of data quality? A. Independence Uniqueness B. Completeness . . Accuracy D. QUESTION 20 In spring project management methodology, planning a spring starts with the examination of A Product Backlog OB. A competitive analysis report Market analysis report OC. OD. Sprint Backlog

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