Pass the EMC Data Science D-DS-FN-23 Questions and answers with CertsForce

The primary role of a business intelligence analyst on an analytics project is to provide business-domain expertise. They bridge the gap between the technical aspects of the project and the business requirements, ensuring that the data and analysis align with the business objectives.

A box and whisker plot is ideal for visualizing the relationship between time spent and product category, especially when you have multiple categories. It shows the distribution of time spent in each product category, including the median, quartiles, and any potential outliers.

A key aspect of a data scientist's profile is skeptical and critical thinking, which helps in questioning assumptions, validating data, and interpreting results accurately to ensure sound analysis and decision-making.

The metrics used to calculate relevance in text analysis are TF (Term Frequency) and IDF (Inverse Document Frequency). TF measures how frequently a term appears in a document, while IDF adjusts the importance of the term based on how common it is across all documents. Their combination, known as TF-IDF, helps evaluate the relevance of terms in a given document relative to a larger corpus.

Hive converts SQL-like commands into execution plans that run as Tez, Spark, or MapReduce jobs on a Hadoop cluster, enabling users to query large datasets using a familiar query language.

The GROUP BY clause in the SQL statement implies the use of an aggregate function. In this case, avg(prod_cost) is an aggregate function that calculates the average of the product costs for each group of products.

Lift measures how many times more often X and Y occur together than would be expected if they were statistically independent. It is expressed as a ratio, and a lift greater than 1 indicates a positive association between X and Y.