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EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) Certification Exam is an industry-recognized certification that provides candidates with advanced knowledge and skills in big data analytics, predictive modeling, and data visualization. Associate - Data Science and Big Data Analytics v2 Exam certification is designed to help businesses keep up with the ever-growing demand for professionals with advanced big data analytic skills. The EMC DEA-7TT2 certification enables candidates to stand out in an increasingly competitive job market, and provides employers with the assurance that the certified professional has the knowledge and skills to effectively handle complex data problems.
To earn the EMC DEA-7TT2 Certification, candidates must pass a rigorous exam that tests their understanding of various data science and big data analytics concepts. DEA-7TT2 exam consists of 60 multiple-choice questions that must be completed within 90 minutes. Candidates must score at least 60% to pass the exam and earn the certification. Associate - Data Science and Big Data Analytics v2 Exam certification is ideal for IT professionals who want to gain expertise in data science and big data analytics and stand out in the competitive job market.
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EMC DEA-7TT2 Exam is suitable for individuals who are interested in pursuing a career in data science and big data analytics. Associate - Data Science and Big Data Analytics v2 Exam certification is beneficial for professionals who work in the IT industry, including data scientists, data analysts, business analysts, and software developers. Associate - Data Science and Big Data Analytics v2 Exam certification validates the candidate's knowledge and skills, making them more employable and valuable to organizations.
EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q191-Q196):
NEW QUESTION # 191
You are using the Apriori algorithm to determine the likelihood that a person who owns a home has a good credit score. You have determined that the confidence for the rules used in the algorithm is > 75%. You calculate lift = 1.011 for the rule, "People with good credit are homeowners".
What can you determine from the lift calculation?
Response:
- A. Leverage of the rules is low
- B. Support for the association is low
- C. The rule is coincidental
- D. The rule is true
Answer: C
NEW QUESTION # 192
You have been assigned to run a linear regression model for each of 5, 000 distinct districts, and all the data is currently stored in a PostgreSQL database. Which tool/library would you use to produce these models with the least effort?
Response:
- A. HBase
- B. Mahout
- C. MADlib
- D. R
Answer: C
NEW QUESTION # 193
In time series analysis, what is an indication of a stationary sequence?
Response:
- A. Seasonality
- B. Constant variance
- C. Decreasing trend
- D. Increasing trend
Answer: B
NEW QUESTION # 194
What are the characteristics of Big Data?
Response:
- A. Data type, processing complexity, and data structure variety.
- B. Data volume, business importance, and data structure variety.
- C. Data volume, processing complexity, and data structure variety.
- D. Data volume, processing complexity, and business importance.
Answer: C
NEW QUESTION # 195
How does an HBase data structure differ from an ANSI standard relational database management system (RDBMS)?
Response:
- A. HBase has strongly defined data columns;ANSI standard RDBMS is more flexible with column definitions
- B. HBase is challenged by sparse data;ANSI standard RDBMS handles missing values well by using null fields
- C. HBase supports a single table with no implicit join ability to other tables;ANSI standard RDBMS supports multiple tables with join ability
- D. HBase provides a wider variety of predefined data types for data;ANSI standard RDBMS provides less variety
Answer: C
NEW QUESTION # 196
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