Question

Answer without explain please
Business Intelligence ...................................................................

   a.  
Refers to a combination of analytical and machine learning techniques used for drawing inferences and insight out of data

    b.  
Focuses on using a consistent set of metrics to measure past performance and inform business planning

    c.  
Measures and KPIs are commonly defined within the OLAP schema to enable BI reporting on defined metrics

    d.  
None of the above

2. The 100-quantiles are called:

   a.  
quintiles

    b.  
deciles

    c.  
percentiles

    d.  
quartiles

3.Scoreboards monitor strategic goals relative to KPIs and to make decisions on a larger scale. dashboards are central hubs for multiple reports that provide easy access to various datasets simultaneously (used as a monitoring tool in real-time)

True

False

4.Drivers to identify business risk (pick 2 answers).

   a.  
Sales

    b.  
Efficiency

    c.  
Customer churn

    d.  
Fraud

5. What does this R command colSums(is.na(dataset)) compute.

      
The sum of missing values in the dataset

       
The sum of non-missing values in the dataset

       
The sum of missing values in each variable column in the dataset

       
The sum of missing values in each row of the dataset

6. In which phase of the analytics lifecycle would you judge the model quality?

   a.  
Communicate Results

    b.  
Data preparation

    c.  
Discovery

    d.  
Operationalize

7Data cleaning and normalization is taking place in stage:

   a.  
Model planning

    b.  
Discovery stage

    c.  
Data preparation

    d.  
Model building

8. Inferential statistics describe and summarize the basic features of data in a study.

True

False

9.Data analytical talents are people with advanced training in quantitative disciplines, such as mathematics, statistics, and machine learning.

True

False

10. QUESTION 20

finding the relationships between the outcome and the input variables is known as classification technique.

True

False

11. measures of central tendency and measures of variability belongs to inferential statistics.

True

False

11. After which phase of the analytics lifecycle should be able to assess the benefits?

   a.  
Communicate Results

    b.  
Operationalize

    c.  
Data preparation

    d.  
Discovery

Answer 1

Below are the answers for the mentioned question-

Question No. 1 Business Intelligence

...................................................................

Answer is option a.
Refers to a combination of analytical and machine learning techniques used for drawing inferences and insight out of data.

Question No. 2 The 100-quantiles are called:

Answer is option c.
percentiles

Question No. 3 Scoreboards monitor strategic goals relative to KPIs and to make decisions on a larger scale. dashboards are central hubs for multiple reports that provide easy access to various datasets simultaneously (used as a monitoring tool in real-time)

Answer is TRUE

Explanation - Scorecards are ideal when you’re looking for a brief view of a specific area and If you need to determine how well marketing KPIs being met, or how a particular team is handling their tasks, a Scoreboards can brighten how close or far they are from their goals. This can be useful when you are attempting to identify areas for refinement or ways to make specific tasks more efficient.

While on other side , Dashboards are beneficial when you need a eagle-eye view of your organization’s operations. Because they can hold several or multiple reports and datasets in a central hub, dashboards are highly useful when you want to review your success daily.

Question No. 4 Drivers to identify business risk (pick 2 answers).

Answer is option c and d.
Customer churn and fraud

Question No. 5 What does this R command colSums(is.na(dataset)) compute.

Answer is option 3rd - The sum of missing values in each variable column in the dataset.

Explanation - In command colSums(is.na(dataset)) , colSums use computes the sum of each column of a numeric data frame, matrix or array and Using is.na(dataset) in R to get Column Names that Contain NA Values in dataset.

Question No. 6 In which phase of the analytics lifecycle would you judge the model quality?

Answer is option b.
Data preparation

Explanation - In analytics lifecycle , The main reason for this step is to reduce the redundant data (incomplete data or incorrect data) so that we can create a good quality of data for different business purposes.

Question No. 7 Data cleaning and normalization is taking place in stage:

Answer is option c.
Data preparation

Explanation - Data preparation phase include all process regarding data that also includes the process of cleaning data, normalizing datasets, and performing transformations on the data.

Question No. 8 Inferential statistics describe and summarize the basic features of data in a study.

Answer is FALSE

Explanation - Descriptive statistics are used to describe the basic features of the data in a study.

Question No. 9 Data analytical talents are people with advanced training in quantitative disciplines, such as mathematics, statistics, and machine learning.

Answer is TRUE

Explanation - As data analyst should include these skills like training in quantitative disciplines , statistics , machine learning , AI etc.

Question No. 10 finding the relationships between the outcome and the input variables is known as classification technique.

Answer is TRUE

Explanation - A classification model tries to draw some conclusion or find relationship from the input values given for training , It will predict the class labels/categories for the new data.

Question No. 11 measures of central tendency and measures of variability belongs to inferential statistics.

Answer is FALSE

Explanation - measures of central tendency and measures of variability does not belongs to inferential statistics , it belongs to Descriptive statistics as ,these are the general types of statistic that are used to describe data.

Question No. 12 After which phase of the analytics lifecycle should be able to assess the benefits?

Answer is option a.
Communicate Results

Explanation - In Data Visualization stage, dedicated to using data visualization techniques and tools to graphically communicate the analysis results for effective interpretation by business users in this phase after this phase Final phase - Utilization of Analysis Results phase comes , in this business able to assess the benefits.