Get Real D-DS-FN-23 Exam Dumps [Sep-2025] Practice Tests [Q190-Q213]

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Get Real D-DS-FN-23 Exam Dumps [Sep-2025] Practice Tests

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EMC D-DS-FN-23 Exam Syllabus Topics:

TopicDetails
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
  • 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 3
  • Operationalizing an Analytics Project and Data Visualization Techniques: This section of the exam measures the skills of an Entry-Level Data Analyst and explains best practices for communicating findings and operationalizing analytics projects. It covers effective methods for presenting projects to various audiences and emphasizes the importance of planning and creating impactful data visualizations.
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.
Topic 5
  • 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.

 

NEW QUESTION # 190
Which SQL OLAP extension provides all possible grouping combinations?

  • A. UNION ALL
  • B. ROLLUP
  • C. CUBE
  • D. CROSS JOIN

Answer: C


NEW QUESTION # 191
In time series analysis, what statement describes a MA(q) process?

  • A. Current time series value depends on the fitted polynomial of order q
  • B. Current time series value depends on the q previous values
  • C. Current deviation from the time series mean depends on the quotient q
  • D. Current deviation from the time series mean depends on the q previous deviations

Answer: D

Explanation:
In a Moving Average (MA) process of order q, the current deviation from the mean is modeled as a linear combination of the previous q deviations (errors).


NEW QUESTION # 192
Which clause is required by all window functions?

  • A. PARTITION BY
  • B. ORDER BY
  • C. RANGE()
  • D. OVER()

Answer: D


NEW QUESTION # 193
What are considerations in a data science and Big Data analytics project?

  • A. Building data silos and bypassing data privacy rules
  • B. Ignoring executive stakeholders and business users
  • C. Applying the latest technologies to demonstrate technical skills
  • D. Analysis flexibility and decision making

Answer: D


NEW QUESTION # 194
The graph represents the plot of WSS as a function of K for a K-means clustering analysis you performed.

Which point in the graph represents the most optimal value of K?

  • A. B
  • B. C
  • C. D
  • D. A

Answer: B


NEW QUESTION # 195
MapReduce is designed to process data in which way?

  • A. Many small files processed serially on one machine
  • B. Many small files processed in parallel across multiple machines
  • C. A few large files split into blocks processed serially on one machine
  • D. A few large files split into blocks processed in parallel across multiple machines

Answer: D

Explanation:
MapReduce is designed to process a few large files that are split into blocks and then processed in parallel across multiple machines. This approach allows for efficient distributed processing of large datasets.


NEW QUESTION # 196
Which word or phrase completes the statement? Data-ink ratio is to data visualization as _________.

  • A. Data scientist is to big data
  • B. Confusion matrix is to classifier
  • C. Seasonality is to ARIMA
  • D. K-means is to Naive Bayes

Answer: B


NEW QUESTION # 197
You are building a logistic regression model to predict whether a tax filer will be audited within the next two years. Your training set population is 1000 filers. The audit rate in your training data is 4.2%.
What is the sum of the probabilities that the model assigns to all the filers in your training set that have been audited?

  • A. 0.42
  • B. 42.0
  • C. 4.2
  • D. 0.042

Answer: B


NEW QUESTION # 198
Which function shown in the exhibit is used to calculate the sample variance?

  • A. a
  • B. c
  • C. b
  • D. d

Answer: A


NEW QUESTION # 199
Data has been collected on visitors' viewing habits at a bank's website.
Which technique is used to identify pages commonly viewed during the same visit to the website?

  • A. Clustering
  • B. Classification
  • C. Regression
  • D. Association Rules

Answer: D


NEW QUESTION # 200
Which SQL OLAP grouping extension is used to provide hierarchical groupings without examining all possible combinations?

  • A. GROUNPING
  • B. CUBE
  • C. ROLLUP
  • D. GROUP_ID

Answer: C


NEW QUESTION # 201
Under which circumstance do you need to implement N-fold cross-validation after creating a regression model?

  • A. The data is unformatted.
  • B. There are categorical variables in the model.
  • C. There is not enough data to create a test set.
  • D. There are missing values in the data.

Answer: C


NEW QUESTION # 202
You are analyzing data in order to build a classifier model. You discover non-linear data and discontinuities that will affect the model.
Which analytical method would you recommend?

  • A. Logistic Regression
  • B. ARIMA
  • C. Decision Trees
  • D. Linear Regression

Answer: C


NEW QUESTION # 203
A business colleague who is new to Hadoop approaches you with a question. The colleague wants to know the best approach to access their data. The colleague has previously worked extensively with SQLand databases.
Which query interface should be recommended?

  • A. Hive
  • B. Howl
  • C. Pig
  • D. HBase

Answer: A


NEW QUESTION # 204
Your customer provided you with 2, 000 unlabeled records and asked you to separate them into three groups.
What is the correct analytical method to use?

  • A. K-means clustering
  • B. Linear regression
  • C. Logistic regression
  • D. Naive Bayesian classification

Answer: A


NEW QUESTION # 205
Which word or phrase completes the statement? A spreadsheet is to a data island as a centralized database for reporting is to a __________?

  • A. Data Mart
  • B. Data Repository
  • C. Data Warehouse
  • D. Analytic Sandbox

Answer: C


NEW QUESTION # 206
Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.

  • A. Optimizing
  • B. Driving
  • C. Predicting
  • D. Discarding

Answer: C


NEW QUESTION # 207
What are the two data categories that represent qualitative data?

  • A. Nominal and ordinal
  • B. Nominal and ratio
  • C. Ordinal and interval
  • D. Ratio and interval

Answer: A

Explanation:
Qualitative data represents non-numeric categories. Nominal data consists of named categories without any order, while ordinal data includes categories with a meaningful order but without consistent intervals between them.


NEW QUESTION # 208
Refer to the exhibit, which shows pairwise counts for items purchased together.

Consider the following association rules:
- Milk -> Eggs
- Eggs -> Milk
- Bread -> Milk
- Milk -> Bread
Which rule has a confidence higher than 70%?

  • A. Milk -> Bread
  • B. Bread -> Milk
  • C. Eggs -> Milk
  • D. Milk -> Eggs

Answer: C


NEW QUESTION # 209
Consider a database with the following four transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
Assuming a minimum support of 50%, which itemsets would be generated in the second step of the Apriori algorithm?

  • A. {cheese, bread}, {cheese, bread, milk}
  • B. {cheese, bread}, {bread, milk}
  • C. {cheese}, {bread}, {milk}, {soda}
  • D. {cheese, bread}, {cheese, milk}, {bread, milk}

Answer: B


NEW QUESTION # 210
What does a branch represent in a decision tree?

  • A. Root of the tree
  • B. Class label for the decision tree
  • C. Outcome of a test on a variable
  • D. Outcome of all prior decisions

Answer: C

Explanation:
A branch in a decision tree represents the outcome of a test or decision on a variable, leading to further splits or classifications based on the test result.


NEW QUESTION # 211
Refer to the exhibit.

You ran a linear regression, and the final output is seen in the exhibit. Based only on the information in the exhibit and an acceptable confidence level of 95%, how would you interpret the interaction of variable D with the dependent variable?

  • A. For every 1 unit increase in variable D, holding all other variables constant, we can expect the dependent variable to increase by 10.23 units
  • B. For every 1 unit increase in variable D, holding all other variables constant, we can expect the dependent variable to be multiplied by 10.23 units
  • C. Variable D is more significant than variables A, B, and C.
  • D. In this model, Variable D is not significantly interacting with the dependent variable

Answer: D


NEW QUESTION # 212
In a t-test with unknown variance, what values are used to calculate the t-statistic?

  • A. Mean, sample standard deviation, and population size
  • B. Mean, standard deviation, and population size
  • C. Sample mean, standard deviation, and sample size
  • D. Sample mean, sample standard deviation, and sample size

Answer: D


NEW QUESTION # 213
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