E20-065 : Advanced Analytics Specialist Exam for Data Scientists

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Advanced Analytics Specialist Exam for Data Scientists
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Which representation is most suitable for a small and highly connected network?
1. Edge list
2. Adjacency matrix
3. Eigenvector centrality
4. Adjacency list
Answer: B
QUESTION: 57
What is a characteristic of spark?
1. Unable to run map -> reduce execution plans
2. Supports applications written in Python, Java, and Scala
3. Less efficient processing small files than Hadoop MapReduce
4. Supports workflows that can return to previous work steps
Answer: B
QUESTION: 58
If two of the communities are re-designated to be one community, how does that change the network characteristics? Refer to the exhibit.
Neighborhood overlap would increase
Network diameter would decrease
Modularity would increase
Modularity would decrease
Answer: B
QUESTION: 59
What is the maximum degree of a node in an undirected graph with 50 nodes'?
1. 49
2. 50
3. 1250
4. 2500
Answer: A
QUESTION: 60
What best describes the meaning behind the phrase "Six Degrees of Separation'"?
1. Ability to use about six hops to reach any other node in an extremely large social network
2. Erdos number of all scholars having written papers with Paul Erdos
3. Maximum number of edges between nodes in a graph with a diameter of six
4. Typical distance between nodes that are connected by triadic closure
Answer: A
QUESTION: 61
What do first-order and second-order Markov processes have in common concerning next word prediction?
1. Both use WordNet to model the probability of the next word
2. Both are unsupervised methods
3. Both provide the foundation to build a trigram language model
4. Neither makes assumptions about the probability of the next word
Answer: C
A marketing team creates a graph using a square for each data point, where the length of each side is set to the data value. The data values are 10 and 20. What is the lie factor of the graph?
1. 1
2. 2
3. 3
4. 6
Answer: B
QUESTION: 63
You are analyzing written transcripts of focus groups conducted on product X. You approach is to use TF-IDF for your analysis. What combination of TF-IDF scores should you examine to ensure you only report on the most important terms?
1. High TF score and high DF score
2. High TF score and high IDF score
3. High TF score and low IDF score
4. Low TF score and low DF score
Answer: C
QUESTION: 64
What does YARN provide over and above MapReduce?
1. Separate cluster and resource management
2. Parallelized processing
3. Serialized processing
4. Access to HDFS data
Answer: A
QUESTION: 65
What is an intended application of the MapReduce framework?
1. Processing can be broken into smaller pieces
2. Processing a large number of small files
3. Processing in real time is required
4. Processing a small subset of data
Answer: A
QUESTION: 66
What do lemmatization and stemming have in common?
1. Use WordNet
2. Remove common words in a natural language
3. Reduce the high dimensionality in text
4. Use a set of heuristics
Answer: C

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