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

Topic
Details

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

• 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

• 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.

Topic 4

• 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 5

• 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.

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EMC Dell Data Science Foundations Sample Questions (Q51-Q56):

NEW QUESTION # 51
You are testing two new weight-gain formulas for puppies. The test gives the results: Control group: 1% weight gain Formula A. 3% weight gain Formula B. 4% weight gain A one-way ANOVA returns a p-value = 0.027
What can you conclude?

• A. Either Formula A or Formula B is effective at promoting weight gain.
• B. Formula B is more effective at promoting weight gain than Formula A.
• C. Formula A and Formula B are both effective at promoting weight gain.
• D. Formula A and Formula B are about equally effective at promoting weight gain.

Answer: A

NEW QUESTION # 52
What is an appropriate data visualization to use in a presentation to a project sponsor?

• A. Pie Chart
• B. Bar Chart
• C. Box and Whisker Plot
• D. Density Plot

Answer: B

NEW QUESTION # 53
Refer to the exhibit.

What provides the decision tree for predicting whether or not someone is a good or bad credit risk.
What would be the assigned probability, p(good), of a single male with no known savings?

• A. 0.83
• B. 0.6
• C. 0.498
• D. 0

Answer: A

NEW QUESTION # 54
What would be considered "Big Data"?

• A. Aggregated statistical data stored in a relational database table
• B. An OLAP Cube containing customer demographic information about 100, 000, 000 customers
• C. Daily Log files from a web server that receives 100, 000 hits per minute
• D. Spreadsheets containing monthly sales data for a Global 100 corporation

Answer: C

NEW QUESTION # 55
You are having a discussion with a business colleague. The colleague mentions that they want to perform K-means clustering on text file data stored in HDFS.
Which tool should be recommended?

• A. Mahout
• B. Scribe
• C. Sqoop
• D. HBase

Answer: A

NEW QUESTION # 56
......

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