cognitive class

Course Name :- Data Analysis with Python Module 1. Introduction Question 1. What does CSV stand for? Comma-separated valuesCar sold valuesCar state valuesNone of the above Question 2. In the data set, which of the following represents an attribute or feature? RowColumnEach element in the dataset Question 3. What is …

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 …

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. TrueFalse Question 2. You can connect services like Watson Assistant to a Node-RED instance running on IBM Cloud. TrueFalse 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 107912 Question 2. In Python, if you executed name = ‘Lizz’, what would be the output of print(name[0:2])? LizzLLizLi Question 3. In Python, …

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? SQLScalaJavaCPython Question 2. What does RDD stand for? REPL Definition and DescriptionResilient Distributed DatasetReader Distribution DefinedResilient Documented DataFrameRead, Distribute, Delete Question 3. The Spark …

 Course Name:- Hadoop 101 Module 1. Introduction to Hadoop Question 1. Hadoop is designed for Online Transactional Processing. True or False? TrueFalse Question 2. When is Hadoop useful for an application? When all of the application data is unstructuredWhen work can be parallelizedWhen the application requires low latency data accessWhen …

Course Name:- IBM Cloud Essentials V3 Module 1. Introduction to IBM  Cloud Question 1.What are Resource Groups used for? As a logical container for services, forming a key component of IAMThey secure network traffic around virtual servers in a VPCServices running under Kubernetes are deployed into one or more of …

Course Name :- Introduction to Cloud Module 1. Overview of cloud computing Question 1. In the US National Institute of Standards and Technology, NIST, definition of “cloud computing”, what does the statement “shared pool of configurable computing resources” include? Data security, associated with loss or unavailability of data causing business …

 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. TrueFalse Question 2. Which are the two types of supervised learning techniques? Classification and ClusteringClassification and K-MeansRegression and ClusteringRegression and PartitioningClassification and Regression …

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. TrueFalse Question 2. Supervised learning deals with unlabeled data, while unsupervised learning deals with labelled data. TrueFalse …