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Examcollection EMC D-DS-FN-23 Vce, Exam Sample D-DS-FN-23 Online
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EMC D-DS-FN-23 Exam Syllabus Topics:| Topic | Details | | Topic 1 | - Initial Analysis of the Data: This section of the exam measures the skills of a Data Science Enthusiast and focuses on the first steps in analyzing data. It explains how basic R commands are used for exploration, discusses important statistical measures and visualizations, and describes hypothesis testing techniques for evaluating models.
| | Topic 2 | - Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods: This section of the exam measures the skills of an Entry-Level Data Analyst and covers foundational knowledge in various advanced analytics methods. Topics include the theory, application, and interpretation of K-means clustering, association rules, linear and logistic regression, naïve Bayesian classifiers, decision trees, time series analysis, and text analytics.
| | Topic 3 | - Data Analytics Lifecycle: This section of the exam measures the skills of an Entry-Level Data Analyst and explains the purpose and phases of the data analytics lifecycle. It includes understanding key activities and roles involved in the discovery, data preparation, model planning, and model building phases to successfully manage analytics projects.
| | Topic 4 | - Advanced Analytics for Big Data - Technology and Tools: This section of the exam measures the skills of a Data Science Enthusiast and addresses the technological challenges associated with Big Data. It introduces tools and technologies such as MapReduce, Hadoop, the Hadoop ecosystem, in-database analytics, SQL essentials, and advanced SQL techniques like window functions and MADlib.
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EMC Dell Data Science Foundations Sample Questions (Q75-Q80):NEW QUESTION # 75
You have scored your Naïve Bayesian Classifier model on "hold out" test data for cross validation. You have determined the way the samples scored and have tabulated them as shown in the exhibit.
What are the Precision and Recall rates of the model?
- A. Precision = 262/277 Recall = 262/288
- B. Precision = 277/262 Recall = 288/262
- C. Precision =262/288 Recall = 262/277
- D. Precision = 288/262 Recall = 277/262
Answer: A
NEW QUESTION # 76
Which chart type is the most effective way to show trends over time?
- A. Stacked Bar Chart
- B. Line Chart
- C. Histogram
- D. Bar Chart
Answer: B
NEW QUESTION # 77
Why do the Naïve Bayesian classifier implementations use the log of probability value rather than the pure probability value?
- A. To invalidate the variables that are continuous
- B. To ensure the conditional independence of attribute values
- C. To avoid numerical underflow errors in high dimensional problems
- D. To obtain a more accurate estimate of the probabilities without the need for a Laplace smoothing
Answer: C
NEW QUESTION # 78
What is the primary function of the NameNode in Hadoop?
- A. Acts as a regulator/resolver among clients and DataNodes
- B. Keeps track of which MapReduce jobs have been assigned to each TaskTracker
- C. Monitors the state of each JobTracker node and signals an event if unavailable
- D. Runs some number of mapping tasks against its assigned data
Answer: A
NEW QUESTION # 79
You have created a Logistic Regression model to predict customer churn for your company. The company's Marketing department wants to use your model to identify at-risk customers and offer incentives to keep them from leaving.
Using two different thresholds for the model provides the two confusion matrices shown in the graphic.
Marketing understands the relative costs of missing at-risk customers versus offering incentives to customers who are not at risk. Therefore, you need their advice on how to set the appropriate threshold on the churn model.
You are meeting with the Marketing team. In the meeting, you plan to state: "Raising the threshold from 0.5 to 0.75 reduces the number of unnecessary incentives that can be offered, at the cost of missing more of the customers who churned." What is the most appropriate visual to reinforce this statement?
Answer: A
NEW QUESTION # 80
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