A.  

Structured data, real-time processing

B.  

Unstructured data; batch processing

C.  

Unstructured data; real-time processing

D.  

Structured data; batch processing

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.

A.  

It is required for performing ad-hoc queries.

B.  

Varying formats of input data requires columns to be added in real time.

C.  

The company's employees are already fluent in SQL.

D.  

Existing SQL code will run unchanged on HBase.

A.  

2 based on the following reasoning:

TFIDF = TF1DF = 1 908

You then know that IDF will equal LOG (32)=0.954

Therefore, TFIDF=TF*0.954 = 1.908

TF will then round to 2

B.  

4 based on the following reasoning:

TFIDF = TF1DF = 1.908

You then know that IDF will equal LOG (3/1 )=0.477

Therefore, TFIDF=TF'0 477 = 1.908

TF will then round to 4

C.  

6 based on the following reasoning:

TFIDF = TF1DF = 1.908

You then know that IDF will equal 3/1=3

Therefore, TFIDF=TF/3 = 1.908

TF will then round to 6

D.  

11 based on the following reasoning:

TFIDF = TF1DF = 1908

You then know that IDF will equal LOG(3/2)=0.176

Therefore, TFIDF=TF"0.176 = 1.908

TF will then round to 11

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

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

A.  

Separate cluster and resource management

B.  

Parallelized processing

C.  

Serialized processing

D.  

Access to HDFS data

A.  

It must be easily commanded

B.  

Any type of data can be processed

C.  

Hadoop is required

D.  

Data should be processed quickly

A.  

Pig and Hive

B.  

Hive and HBase

C.  

Yarn and Spark

D.  

All MapReduce jobs