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D491 for Post Assessment Exam Questions With Correct Answers

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D491 for Post Assessment Exam Questions With Correct Answers

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D491 for Post Assessment Exam Questions With Correct
Answers
1) Which job position is primarily responsible for designing and constructing data pipelines
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| within the field of data analytics?: Dataengineer
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2) Which role is responsible for project initiation and providing the require-
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ments for a project?: Projectsponsor
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3) Which role in a data analytics project helps data scientists shape data for
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| analysis?: Data engineer | |


4) Which role in a data analytics project provides expertise for analytical tech-niques?:
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|Data scientist
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5) Which skills are required by data scientists for converting unstructured data tostructured
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|dataindataanalyticsprojects?:Datawranglingskills
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6) Which skill must a business intelligence analyst possess to collect and orga-nize data?:
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|Data preparation
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7) Which project-related activity typically takes up the majority of a data ana-lyst's time?:
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|Data preparation
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8) Which software do business intelligence analysts use to perform their re-
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sponsibilities?: Microsoft Excel | |


9) Whatisaskillrequiredofadataengineer?:Maintainingdatabases
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10) Which group of stakeholders comprises the professionals, such as line | | | | | | | | |


| managers?: Business users | |


11) Which stakeholder is primarily responsible for ensuring the desired quality of
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|the project?: Projectmanagers
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12) Which stakeholder has access to essential tables or storage systems and | | | | | | | | | |


| guarantees the highest levels of security in the data repository?: Databaseadmin-istrator
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13) Why is it significant to establish failure criteria for a data analytics project in
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|the discovery phase?: Ithelpstheteamdeterminewhenitisbesttoaccepttheconclusions.
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14) Which stakeholder extracts and transforms data during the discovery | | | | | | | |


| phase?: Data engineer | |


15) A person has been assigned to manage a project to implement a compa-ny-wide
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|customer relationship management (CRM) system. The CRM system aims to centralize
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| customer details, automate sales processes, and improve | | | | | |




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,16)
17) customer service. What skills are crucial for the project team members work- | | | | | | | | | | |



ing on the CRM system implementation?: Data analysis, system integration, and training
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18) Why is formulating an initial hypothesis an integral part of the discovery
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|phase of the data analytics lifecycle?: Itguidesthesubsequent(following)datacollection, processing, and
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analysis activities.
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19) Who should be included as stakeholders in an analytics project?: Anyonewho will benefit
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from the project
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20) Who offers suggestions on ideas to test as the team formulates hypotheses during the
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discovery phase of a data analytics project?: Datascientists
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21) Which activity occurs during the data preparation phase of the data analyt-ics
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lifecycle?: Understandingofdata
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22) Which data visualization is most suitable for understanding the trend and
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|progressionofa variable over time in the data preparation phase?: Linecharts
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23) Which task is commonly performed to identify and address data quality
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|issues during the data preparation phase?: Conductingdataprofiling
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24) Which common data cleaning task is used to address the missing data in a data set?:
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Imputation
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25) Which task is typically performed to handle outliers during the data prepa-
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ration phase?: Truncatingextremevalues
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26) A data analyst at a retail company is provided with a large dataset contain-ing
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|sales transactions, customer information, and product details. The analyst is tasked
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with preparing the data for analysis and modeling.
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27) Which activity would the analyst perform during the data preparation phase?-
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28) : Exploring available data to understand its characteristics and suitability
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29) Which activity is performed during the model planning phase of a data
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|analysis project?: Selecting relevant features for modeling
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30) Which is primarily used for statistical analysis and data manipulation in the model
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|planning phase?: R | |


31) Which classification model is based on the concept of probability and assigns
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|class labels to instances based on the possibility of belonging to a particular class?:
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NaiveBayes
| |




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, 32)
33) Which tool is used to connect users to relational databases and data ware-house
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appliances in the model planning phase?: SAS/ACCESS
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34) Which regression model is commonly used for predicting a continuous
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numerical outcome based on a set of input features?: Linearregression
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35) Which phase of the data analytics life cycle involves running analytical
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software packages on small datasets to test and refine models?: Modelexecution phase
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36) Which step is typically performed after executing the model in the model
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execution phase?: Result analysis
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37) What is the role of the SPSS modeler in the model execution phase of the data
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analytics life cycle?: Itisusedforapplyingthetrained modeltonewdataforpredictions.
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38) Which testing procedure is used for evaluating the performance of a model in the
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data analytics lifecycle?:Cross-validation
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39) How does the communication of results tie to the operationalize phase of data
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analytics?: It implements data-driven insights into business functions.
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40) Which data visualization tool in the communicate results phase is used to create
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web-based visualization?: D3.js
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41) Which measure assesses the validity of a correlation between two variables
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during the communicate results phase?: P-value
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42) Which statement is an example of a common pitfall in the communication of
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model results?: Focusing only on the accuracy of the model
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43) What is the purpose of communicating data analytics results to stakehold-
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ers?: To demonstrate the value and impact of data analytics on business outcomes
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44) A data analyst working for a retail company has a team that analyzes cus-tomer
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purchasing behavior and identifies a segment of high-value customers who have a high
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propensity to churn. Now the analyst needs to communicate the results to the customer
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service department to operationalize the insights and reduce customer churn. How does
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the communication of results tie to the operationalize phase of data analytics?: By implementing
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personalized outreach to customers
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45) Which phase is the immediate predecessor to the operationalize phase of the
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data analytics life cycle?: Communicate results
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Subido en
12 de mayo de 2026
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2025/2026
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