Big Data Computing and Digital Transformation: Quiz M2

University:
University of Cambridge
Course:
ACC 241 | Accounting
Academic year:

2024
Views:

287

Pages:

6
Author:

Kamis Berhasil

Challenges and Opportunities in Utilizing Big Data Computing: Quiz M2 Dashboard / My courses Started on State Completed on Time taken Monday, March 15, 2021, 1:04 PM Finished Monday, March 15, 2021, 1:09 PM 5 mins 41 secs Grade100 Question 1 .00 out of 100.00 The Hadoop architecture consists of: Correct Mark 5.00 out of 5.00 Select one: a. Storage layer, Service Layer, Application Layer b. Storage layer, Resource Management Layer, Application Layer c. Storage layer, Processing Layer, Application Layer d. Data Layer, Processing Layer, Service Layer The correct answer is: Storage layer, Resource Management Layer, Application Layer Question 2 The following are suggestions for entering the Analytic 3.0 era: Correct Mark 5.00 out of 5.00 Select one: a. All right b. Add some unstructured large volume data c. Start with existing capabilities for data management and analytics d. Select analytics 3.0 targets and sub-targets The correct answer is: All correct Question 3 Here's what a 1.0 company should do, except: Correct Mark 5.00 out of 5.00 Select one: a. Find the best customers, charge them the best price b. Make analytics and fact-based decisions on key elements of customer relationships, products and services, strategy, and competition c. Understand costs and drive better performance d. Create an effective offer The correct answer is: Make analytics and fact-based decisions on key elements of customer relationships, products and services, strategy, and competition. Send messa... 1/6 Analytic 3.0 example: Select one: a. All right Question 4 b. Focus on anomalies and exceptions Correct c. Real-time high volume data from sensors and machines Mark 5.00 out of 5.00 d. Analytics for trends, patterns, prediction, optimization, situational awareness The correct answer is: All correct Question 5 Application Examples of Machine Learning and Predictive Analytics: Correct Mark 5.00 out of 5.00 Select one: a. All right b. Dynamic pricing c. Disease outbreak prediction d. Cashflow Prediction The correct answer is: All correct Question 6 Examples of unstructured data: Correct Mark 5.00 out of 5.00 Select one: a. Employee data b. All right c. Sales transaction data d. Social media data The correct answer is: Social media data Question 7 Example of implementation in a company: Correct Mark 5.00 out of 5.00 Select one: a. Procter & Gamble conducts real time social media sentiment analysis for "Consumer Pulse" b. Monsanto paid nearly $1 billion for The Climate Company, which collects and analyzes weather data for agriculture c. All right d. Intelligent Inventory Management System at Ford company, suggesting weekly orders for dealers and has increased revenue by $100 million/year The correct answer is: All correct 2/6 In computer vision, examples of Machine Learning applications include: Select one: a. Face recognition Question 8 b. Body temperature detection Correct c. Object recognition Mark 5.00 out of 5.00 d. Analytical Route The correct answer is: Analytic Route Question 9 The term 'Machine Learning' was coined in the year by

: Correct Mark 5.00 out of 5.00 Select one: a. T = 1989, P = Tom M. Mitchell b. T = 1999, P = Bill Gates c. Q = 1959, P = Arthur Samuel d. Q = 1969, P = Yann LeCun The correct answer is: T = 1959, P = Arthur Samuel Question 10 Hadoop component that functions as data processing: Correct Mark 5.00 out of 5.00 Select one: a. MapReduce b. All right c. YARN d. HDFS The correct answer is: MapReduce Question 11 Hadoop component that serves as data storage: Correct Mark 5.00 out of 5.00 Select one: a. All right b. YARN c. HDFS d. MapReduce The correct answer is: HDFS 3/6 Which statement is true about the Analytic 3.0 era: Select one: a. Internal, relatively small data sources and structured data from customers Question 12 b. Fusion of traditional analytics with Big Data Correct c. Complex, large and unstructured data Mark 5.00 out of 5.00 d. New analytical and computational capabilities required The correct answer is: The combination of traditional analytics with Big Data Question 13 Which is the correct statement about Hadoop: Correct Mark 5.00 out of 5.00 Select one: a. All right b. Hadoop is a Google File System c. Hadoop is a framework for working with Big Data d. Hadoop began development in 2008 The correct answer is: Hadoop is a framework for working with Big Data. Question 14 Netflix is an example of a company that falls into this category: Correct Mark 5.00 out of 5.00 Select one: a. 2.0 b. 3.0 c. All correct d. 1.0 The correct answer is: 2.0 Question 15 SQL vs NoSQL Comparison: Correct Mark 5.00 out of 5.00 Select one: a. All right b. Static vs Dynamic c. Structured Query Language vs Un-structured Query Language d. Relational vs Non-Relational The correct answer is: All correct 4/6 Comparison of Traditional vs Big Data Analytics: Select one: a. All right Question 16 b. Hard to scale vs Scales out forever Correct c. Expensive vs Affordable Mark 5.00 out of 5.00 d. Process centric vs Information centric The correct answer is: All correct Question 17 One form of unstructured data: Correct Mark 5.00 out of 5.00 Select one: a. Document b. Graph c. Key-Value d. All right The correct answer is: All correct Question 18 One fact that shows the Velocity aspect of Big Data: Correct Mark 5.00 out of 5.00 Select one: a. All right b. Unstructured data growth reaches 60% - 80% per year c. Modern cars have 100 sensors that monitor various items on the car d. 27% of respondents in one survey were unsure how much of their data was inaccurate The correct answer is: Modern cars have 100 sensors that monitor various items on the car. Question 19 One of the important milestones in Big Data Analytics is in the aspect of infrastructure procurement: Correct Mark 5.00 out of 5.00 Select one: a. Get the right infrastructure needed based on your solution architecture including data storage and processing units, platforms, and applications b. Develop Solution architecture for your business case including data collection process, technology architecture and analytics and data visualization methods. c. Adapt and transform your organization towards new big data technologies and analytics implementations d. Analyze data for each of your specific business cases and visualize it in a meaningful way The correct answer is: Get the right infrastructure needed based on your solution architecture including data storage and processing units, platforms, and applications. 5/6 Question 20 Technology needed in the Analytic 3.0 era: Correct Mark 5.00 out of 5.00 Select one: a. High reliance on Machine Learning b. Both are true c. Both are wrong d. Data Warehouse Centered The correct answer is: High reliance on Machine Learning Jump to...