Course Name:- Spark Overview for Scala Analytics Spark Overview for Scala Analytics Cognitive Class Final Exam Answers Question 1: Which language is not supported by Spark? SQL Scala Java C Python Question 2: What does RDD stand for? REPL Definition and Description Resilient Distributed Dataset Reader Distribution Defined Resilient Documented DataFrame Read, Distribute, Delete Question […]
Course Name:- Python for Data Science Module 1:- Python Basics Question 1: What is the result of the following operation in Python: 3 + 2 * 2 10 7 9 12 Question 2: In Python, if you executed name = ‘Lizz’, what would be the output of print(name[0:2])? Lizz L Liz Li Question 3: In […]
Course Name:- Node-RED: basics to bots Lab 1:- Create Your First Node-RED Flow Question 1: You can run Node-RED on the IBM Cloud without installing it locally on your computer. True False Question 2: You can connect services like Watson Assistant to a Node-RED instance running on IBM Cloud. True False Question 3: The three […]
Course Name:- Data Science Tools Module 1: Language of Data Science Question 1: Which of the following statements is true? 80% of data scientists worldwide use Python. Python is useful for AI, machine learning, web development, and IoT. Python is the most popular language in data science. Keras, Scikit-learn, Matplotlib, Pandas, and TensorFlow are all […]
Course Name:- Data Analysis with Python Module 1: Introduction Question 1: What does CSV stand for? Comma-separated values Car sold values Car state values None of the above Question 2: In the data set, which of the following represents an attribute or feature? Row Column Each element in the dataset Question 3: What is the […]
Course Name:- Text Analytics 101 Module 1:-Getting to know IE Question 1: Your client would like to know how its advertising campaign impressed customers. Which IE task would provide this data? Event Extraction Co-reference resolution Sentiment Extraction Relation Extraction Question 2: Which extraction phase can turn a dictionary match of a common first name plus […]
Course Name:- SQL and Relational Databases 101 Modules 1:- SQL and relational Dtabase 101 Question 1: What is a Database? A program that stores data Stores data in tabular form A repository of data All of the above Question 2: Advantages of the relational model include:- Provides logical and physical data independence Data is stored […]
Course Name:- Spark MLlIB Module 1: Spark MLlIB data Types Question 1.Sparse Data generally contains many non-zero values, and few zero values. True False Question 2: Local matrices are generally stored in distributed systems and rarely on single machines. True False Question 3: Which of the following are distributed matrices? RowMatrix ColumnMatrix CoordinateMatrix SphericalMatrix RowMatrix […]
Course Name:- Simplifying data pipelines with Apache Kafka Modules 1:- Introduction to Apache Kafka Question 1. Which of the following are a Kafka use case? Messaging All of the above Stream Processing Website Activity Tracking Log Aggregation Question 2.A Kafka cluster is comprised of one or more servers which are called “producers” True False Question […]
Course Name:- R for Data Science Module 1:-R basics Question1. Vectors in R can be which of the following types? Logical Numeric Character All of the above Question 1: What would be the output in R given: c(1,2) == 1 ? FALSE TRUE TRUE FALSE FALSE FALSE TRUE TRUE Question 3: How would you retrieve […]
Course Name:- Machine Learning with R Module 1. Machine Learning With Statistical Modeling Question 1. Machine Learning was developed shortly (within the same century) as statistical modelling, therefore adopting many of its practices. True False Question 2. Supervised learning deals with unlabeled data, while unsupervised learning deals with labelled data. True False Question 3. Machine […]
Course Name:- Machine Learning with Python Module 1. Machine Learning Question 1: Machine Learning uses algorithms that can learn from data without relying on explicitly programmed methods. True False Question 2: Which are the two types of supervised learning techniques? Classification and Clustering Classification and K-Means Regression and Clustering Regression and Partitioning Classification and Regression […]