Pass4sure e20-065 Dumps Practice Test

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E20-065 Exam

• Advanced Analytics Specialist Exam for Data
  Scientists

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ADVANCED ANALYTICS SPECIALTY
This certification is designed to build on the
skills developed in the Associate level course in
Data Science (Data Science Big Data Analytics)
and help aspiring Data Scientists continue to
evolve and expand their skill sets. The main
growth areas include advanced analytical methods,
Hadoop (and Pig, Hive, HBase), Social Network
Analysis, Natural Language Processing, and
Visualization methods. The development of these
skills and the use of these methods provide the
data scientist the ability to identify and
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EMCExam E20-065Advanced Analytics Specialist
Exam for Data ScientistsVersion Demo Total
Questions 10
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EMC E20-065 Questions and Answers
Question No 1
The naive Bayer classifier is trained over 1600
movie reviews and then tested over 400
reviews. Here is the resulting confusion
matrix 190 (TP) 10(FN) 80 (FP) 120(TN) What are
the precision, recall, and the F1-score
values? A. Precision0.95 Recall 0704
F1-score 0.809 B. Precision 0.613, Recall 0.95,
F1-score 0.745 C. Precision 0.704, Recall 0.95
F1-score 0.809 D. Precision 0.95 Recall 0.613
F1-score 0.745
Answer C
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EMC E20-065 Questions and Answers
Question No 2
What is a characteristic of stop words? A. Used
in term frequency analysis B. Include words such
as "a", "an", and "the" C. Meaningful words
requiring a parser to stop and examine them D.
Don't occur often in text
Answer B
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EMC E20-065 Questions and Answers
Question No 3
In a typical multinomial logistic regression
analysis involving six outcomes (class labels)
and three input variables, how many model
parameters will need to be estimated? A. 9 B.
18 C. 20 D. 24
Answer B
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EMC E20-065 Questions and Answers
Question No 4
What is an important simu-lation design
consideration? A. Ensure model Inputs align with
reality B. Use different seed values to
regenerate results C. For rare event models,
minimize number of trials D. A complex model is
better than a simple model
Answer A
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EMC E20-065 Questions and Answers
Question No 5
What do lemmatization and stemming have in
common? A. Use WordNet B. Remove common words in
a natural language C. Reduce the high
dimensionality in text D. Use a set of heuristics
Answer C
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EMC E20-065 Questions and Answers
Question No 6
What is a typical use of a UDF in Pig? A.
Creating functionality outside of what is
provided by the built-in functions B. Providing
Functional access to user-defined data in HDFS C.
Providing advanced analytics to Hadoop D.
Providing an interface from Pig to Microsoft
Excel for easier data manipulation
Answer A
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EMC E20-065 Questions and Answers
Question No 7
Which problem type is best suited for
simulation? A. One with a few. non-random input
variables B. One that has a closed-form
solution C. One with numerous, non-random
Input-variables D. One that compares "what-if
scenarios
Answer D
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EMC E20-065 Questions and Answers
Question No 8
What do first-order and second-order Markov
processes have in common concerning next word
prediction? A. Both use WordNet to model the
probability of the next word B. Both are
unsupervised methods C. Both provide the
foundation to build a trigram language model D.
Neither makes assumptions about the probability
of the next word
Answer C
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EMC E20-065 Questions and Answers
Question No 9
Which scenario is a proper use case for
multinomial logistic regression? A. A marketing
firm wants to estimate the personal income of a
group of potential customers. Using inputs such
as age, education, marital status, and credit
card expenditures, a data scientist is building a
model that will estimate a person's income B. A
logistic distribution company wants to minimize
the distance traveled by its delivery trucks. A
data scientist is building a model to determine
the optimal route for each of tis trucks C. To
improve the initial routing of a loan
application, a financial institution plans to
classify a loan application as Approve, Reject,
or Possibly_Approve. Based on the
company's historical loan application data, a
data scientist is building a model to assign one
of these three outcomes to each submitted
application. D. A manufacturer plans to determine
the optimal number of workers to employ in an
assembly line process. Utilizing the observed
distributions of the task durations of
each process step, a data scientist is building a
model to mimic the interactions and dependencies
between each stage in the manufacturing process.
Answer C
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EMC E20-065 Questions and Answers
Question No 10
A simul-ation to compare two different sales
models yields different results for the same set
of input variables in different runs. What is the
likely cause? A. bit operating system was
used B. The same number of trials was used. C. A
linear congruenlial generator (LCG) was used for
pseudo-random number generation. D. Different
seeds forthe random number generator were used
Answer C
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