D-DS-FN-23 Sample Questions Pdf, Valid Braindumps D-DS-FN-23 Pdf
D-DS-FN-23 Sample Questions Pdf, Valid Braindumps D-DS-FN-23 Pdf
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Tags: D-DS-FN-23 Sample Questions Pdf, Valid Braindumps D-DS-FN-23 Pdf, Exam D-DS-FN-23 Material, New D-DS-FN-23 Exam Questions, D-DS-FN-23 Test Simulator Free
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EMC D-DS-FN-23 Exam Syllabus Topics:
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EMC Dell Data Science Foundations Sample Questions (Q90-Q95):
NEW QUESTION # 90
Which SQL set operator returns rows that exist in the first SELECT statement answer set but not in the second SELECT statement?
- A. EXCEPT
- B. UNION ALL
- C. UNION
- D. INTERSECT
Answer: A
Explanation:
The EXCEPT operator returns rows that exist in the result set of the first SELECT statement but not in the second. It removes duplicates and only shows the difference between the two datasets.
NEW QUESTION # 91
In ANOVA, what is the null hypothesis for k population means?
- A. At most k-1 population means are equal
- B. All population means are equal to each other
- C. At least two population means are equal
- D. At least two population means are not equal
Answer: B
Explanation:
In ANOVA (Analysis of Variance), the null hypothesis is that all population means are equal to each other.
The goal is to test whether there is evidence to reject this hypothesis, indicating that at least one population mean differs from the others.
NEW QUESTION # 92
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. Due to large number of layers, there may be an overfitting problem
- B. The sample size is too small, so the classes may not be accurate
- 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: A
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 # 93
In time series analysis, what function is examined to identify the order of the moving average component of an ARIMA model?
- A. Autocorrelation function
- B. Geometric mean function
- C. Exponential function
- D. Arithmetic mean function
Answer: A
NEW QUESTION # 94
To ensure a successful analytic project, which key role can consult and advise the project team on the value of end results and how these will be used on a daily basis?
- A. Business User
- B. Business Intelligence Analyst
- C. Data Scientist
- D. Project Manager
Answer: A
NEW QUESTION # 95
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