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DASCA Senior Data Scientist Sample Questions:

1. Which of the following statements is correct?

A) Apache claimed that Spark is able to run parallel jobs 1000 times faster in memory and 100 times faster on disk in comparison to the traditional Hadoop MapReduce
B) Apache claimed that Spark is able to run parallel jobs 50 times faster in memory and 5 times faster on disk in comparison to the traditional Hadoop MapReduce
C) Apache claimed that Spark is able to run parallel jobs 10 times faster in memory and 100 times faster on disk in comparison to the traditional Hadoop MapReduce
D) Apache claimed that Spark is able to run parallel jobs 100 times faster in memory and 10 times faster on disk in comparison to the traditional Hadoop MapReduce

2. Which of the following is True about Time Series Analysis?

A) Projecting the value of the time series at future points in time, such as a stock whose price we want to predict
B) Both A and B
C) All of the above
D) Identifying interesting patterns in a corpus of time series data that is too large for a human to comb through
E) Predicting when/whether an event will occur, such as a failure of the machine generating the data

3. Which of the following architectural techniques is used for parallel processing?

A) Both B and C
B) The Superscalar Technique
C) Both A and B
D) Very Long Instruction Words (VLIW) Technique
E) The SuperVector Technique

4. The Big Data Vision Workshop process is ideal for organizations who:

A) Have a wealth of data that they do not know how to monetize
B) Both A and B
C) Have a desire to leverage Big Data to transform their business but do not know where and how to start
D) All of the above
E) Have a desire to leverage the Big Data Vision Workshop to identify where and how to leverage data and analytics to power their business models

5. Machine learning can be categorized as:

A) Unsupervised learning
B) Reinforcement learning
C) All of the above
D) Supervised learning

Solutions: