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

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:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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.

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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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