Prawin Kurdeg

  How does the team know what to work upon during the iteration ? A) The team participates in the iteration planning during which the Lead/Onsite coordinator/Facilitator decides who would work on what B) Based on the discussions during iteration planning, team members agree on what each would work on C) The Facilitator has regular interaction with the Product Owner. He/She guides the team on the tasks to be taken up D) Iterations plans are shared by Product Owner beforehand; any spill over from the last iteration is taken up by default. Answer: (B) Based on the discussions during iteration planning, team members agree on what each would work on. The most common and effective approach is option B, where team members agree on what each would work on based on discussions during the iteration planning. In an agile development process, iteration planning is a collaborative effort that involves the entire team, including the product owner. During this meeting, the team reviews the requir...

  Why is Data-Driven Analytics of interest to companies ? A It helps Data Analysts shape an analytics problem from a business problem. B It gives companies the ability to make informed decisions. C It allows companies to make definitive predictions about the future. Verified answer is option B. It gives companies the ability to make informed decisions. Data-Driven Analytics is of interest to companies because it allows them to make informed decisions based on data insights. By analyzing large volumes of data, companies can identify patterns, trends, and relationships that would be difficult or impossible to discern through human intuition alone. This helps companies to better understand their customers, optimize their operations, and develop more effective strategies. Some potential benefits of Data-Driven Analytics include: Improved decision-making: Companies can use data insights to make more informed decisions, reducing the risk of making poor choices based on incomplete or in...

 What is an example of Big Data? A. entering and tracking a company's daily transaction records in a spreadsheet. B. tracking the work hours of 100 employees with a real-time dashboard. C. providing real-time data feeds on millions of people with wearable devices. D. sending user survey responses from various store branches to a single, central database. Answer: option C) providing real-time data feeds on millions of people with wearable devices is an example of Big Data. Explanation: Big Data refers to extremely large data sets that cannot be processed or analyzed using traditional data processing methods. The data sets are typically characterized by their volume, velocity, and variety. In this case, the real-time data feeds from millions of wearable devices are generating massive amounts of data that must be collected, processed, and analyzed in real-time to extract valuable insights. This requires specialized tools and techniques such as distributed computing, machine learning, ...

 How can edge computing be used to improve sustainability? A. by instantly converting older machines to use renewable energy. B. by allowing devices to operate without a network connection. C.  by requiring all devices to connect directly to government servers. D. by using sensors to track real-time data about energy usage. Answer: D. by using sensors to track real-time data about energy usage. Edge computing can be used to improve sustainability by using sensors to track real-time data about energy usage. By collecting and analyzing data about energy use at the edge of the network, close to the source of the data, edge computing can provide more accurate and timely insights into energy consumption patterns. This information can then be used to optimize energy use and reduce waste, leading to more sustainable practices.  For example, edge computing can be used in smart buildings to monitor energy usage and automatically adjust lighting, heating, and cooling systems based ...

 W hat is an example of new technology having a positive impact on sustainability? setting up a separate data center in each of a company's regional offices using smart meters to track energy consumption in homes predicting a customer's future purchases using artificial intelligence mining cryptocurrency using a series of linked computer servers. Answer: B.  using smart meters to track energy consumption in homes. Explanation: An example of new technology having a positive impact on sustainability is using smart meters to track energy consumption in homes. Smart meters allow homeowners to see real-time information about their energy usage, which can help them make more informed decisions about their energy consumption and identify ways to reduce their energy use and carbon footprint.   Some more MCQs are provided for your practice .        Which of the following is an example of new technology having a positive impact on sustainability?  ...

 What is an example of new technology having a NEGATIVE impact on sustainability? A. using smart meters to track energy consumption in homes B. using multiple servers to maintain a cryptocurrency operation. C. using the cloud to analyze environmental data on a global scale D. using automation to shut down unused electric devices Answer : B. using multiple servers to maintain a cryptocurrency operation. Explanation: One example of new technology having a negative impact on sustainability is using multiple servers to maintain a cryptocurrency operation. The process of mining cryptocurrency requires vast amounts of energy and resources, contributing significantly to the carbon footprint of the technology industry. The servers used for cryptocurrency mining consume large amounts of electricity, which often comes from non-renewable sources, and generate a significant amount of heat, requiring additional energy to cool them. This excessive energy consumption contributes to greenhouse ga...

 What is an example of a way a farm could apply new technology to improve sustainability? A. use machine learning to improve product transportation and delivery. B. purchase new farm equipment using blockchain-based cryptocurrency. C. build a data center on the farm premises to store more information. D. use artificial intelligence to predict and adjust the farm's water usage. Answer: D. Use artificial intelligence to predict and adjust the farm's water usage.  Explanation: Precision agriculture use artificial intelligence (AI) to aid in the detection of plant diseases, pests, and inadequate plant nutrition on farms. 10 more  MCQs related to ways farms can apply new technology to improve sustainability:     What is an example of a way a farm could apply new technology to improve sustainability?     a) Increase pesticide use     b) Install traditional irrigation systems     c) Implement precision agriculture techn...