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Exam Dumps D-DS-FN-23 Zip | D-DS-FN-23 Free Dumps
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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 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.
| | 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 | - Big Data, Analytics, and the Data Scientist Role: This section of the exam measures the skills of a Data Science Enthusiast and covers the basic concepts of Big Data, including its defining characteristics and the business drivers behind its rise. It also introduces the role of the Data Scientist, highlighting the critical skills needed in the data science field.
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EMC Dell Data Science Foundations Sample Questions (Q18-Q23):NEW QUESTION # 18
Which function shown in the exhibit is used to calculate the sample variance?

Answer: C
NEW QUESTION # 19
A study was run to identify general dietary patterns among the residents of a small town. Twelve thousand people were surveyed and the data was subject to K-means clustering.
In one of the iterations, there were six clusters formed with 38, 1560, 1799, 2560, 2893, and 3150 respondents.
What should be the next step in identifying optimal clusters?
- A. Multiply each variable by its standard deviation
- B. Determine the optimal number of clusters by plotting the Within Sum of Squares (WSS) values as a function of K
- C. Add more categorical variables to the dataset to maximize the Within Sum of Squares (WSS) value for K=6
- D. Remove 38 respondents because the 5 clusters seem to be well distributed
Answer: B
NEW QUESTION # 20
You build a decision tree to classify five different types of customers based on their browsing history from a sample of 500. The resulting decision tree has 17 layers. One of the leaf nodes has only three customers.
What do you conclude?
- A. The sample size is too small, so the classes may not be accurate
- B. Due to large number of layers, there may be an overfitting problem
- C. The decision tree needs to be rebuilt to see if the results change
- D. The decision tree needs to be rebuilt without the three customers
Answer: B
Explanation:
The decision tree having 17 layers and a leaf node with only three customers suggests that the tree is overfitting the data. This is because a deep tree with many layers can lead to overfitting, where the model fits the training data too closely, capturing noise and small details that do not generalize well to new data.
Reducing the tree depth or pruning the tree can help mitigate overfitting.
NEW QUESTION # 21
Which word or phrase completes the statement; "A theater actor is to 'artistic and expressive' as a data scientist is to."?
- A. Communicative and collaborative
- B. Introverted and technical
- C. Logical and steadfast
- D. Independent and intelligent
Answer: A
NEW QUESTION # 22
In a decision tree, what is an example of a pure node?
- A. 25 positives; 75 negatives
- B. 50 positives; 50 negatives
- C. 75 positives; 25 negatives
- D. 100 positives; 0 negatives
Answer: D
NEW QUESTION # 23
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