AWS MACHINE LEARNING QUIZ SET 1 Welcome to AWS MACHINE LEARNING QUIZ SET 1. Please visit AWS Machine Learning Q & A before attempting this quiz. Please enter your email details to get QUIZ Details on your email id. Click on Next Button to proceed. Email 1. ######QUESTION#########We decide to use a dataset that is 10 years old to evaluate student preferences for online coaching. A newer dataset is available, but it would require us to download 150 different files rather than the 1 file of the old data.. What bias might be be introducing? Automation Bias Convenience Bias Correlation Bias2. ######QUESTION#########Which of the following might be considered under the risk heading of Interpretation? You are upset at the weather website for saying it was going to be sunny but instead it rained. Your model consistently returns errors when the input data happens to be very high numbers. Your organization intends to disband the ML project team as soon as the model is in production.3. ######QUESTION#########Which of the following would most impact how you framed an ML problem? You will need to scale some values in the data using a normalization method. You discover the data you intend to use was stolen from a competitor. You realize the data is in metric units but your model intends to produce output in imperial units.4. ######QUESTION#########Which of the following statements about computing hardware and ML are not true? CPUs and GPUs are the most flexible device for machine learning development and iteration. GPUs are specialized at performing math functions very fast. ASICS are not available to the general public.5. ######QUESTION#########Which best describes a requirement in our ML project charter to include some time to ensure we can show an external auditor how our model makes decisions? Explainability Consistency Integrity6. ######QUESTION#########Why is the Trolley Dilemma a favorite discussion topic with it comes to machine learning? It helps consider what sort of responsibilities we might have to allow algorithms and models to make on our behalf. It aids in discussions with other project members around various bias that could get introduced into our models. It helps frame the challenge of risk management in machine learning projects.7. ######QUESTION#########Which statement is accurate about architecting for the cloud versus in-house landscapes? Hybrid architectures are only advisable when cloud computing costs are more than in-house costs. Architecting a cloud solution is no different than architecting an in-house solution. Architecting for the cloud is a discipline itself with its own best practices and complexities.8. ######QUESTION#########What is a major economic benefit of cloud computing for businesses? Computing resources can be procured on an OpEx basis versus a CapEx basis. Cloud computing resources depreciate at a faster rate than in-house resources. Cloud computing platforms are simpler to use than in-house resources.9. ######QUESTION#########Which best describes a Big Bang deployment strategy? We will be rolling out our new customer recommendation engine to a small percentage of customers to evaluate the results. For a period of time, we're going to be running two customer databases and manually syncing records between them until we can upgrade the other portions of our eCommerce site. Because our inventory and accounting systems are very tightly coupled, we will be upgrading both systems over the holiday weekend.10. ######QUESTION#########Which is an example of online validation? (Choose 2) Running the model as a shadow deployment for a couple weeks. Testing the model using the QA version of the database rather than the production version. Deploying an A/B test for your new model. Creating a copy of the production database and running the model through the historical data.11. ######QUESTION#########A project member insists that we keep training our model until it produces 100% perfect results in testing. What risk might this introduce? Implicit Bias Over-planning Overfitting12. ######QUESTION#########If you wanted to create a device that was purpose built for one specific machine learning task and didn't care about upgrading it later, which type of device might you choose if raw speed was your only concern? ASIC GPU FPGA13. ######QUESTION#########As a ML engineer , John got requirement to deliver ML framework.He has got few ML frameworks option to choose.Which of these is a very popular machine learning framework? Scala Python PyTorch14. ######QUESTION#########Which phase in an ML project will likely consume the most time and resources? Model Validation Data Preparation Model Deployment15. ######QUESTION#########If I were to assume that all dogs bark because that's what I've always been told, what type of bias might this be? Implicit Bias Experimenter's Bias Convenience Bias16. ######QUESTION#########Which would you recommend to someone just starting their machine learning journey? Don't embarrass yourself by asking questions until you have at least 2 years of experience. Don't start. The less people know about ML, the better. It will just scare people. Start small and simple17. ######QUESTION#########Which best describes Concept Drift? Your machine learning model has gotten better over time. The profile of the underlying ground truth data used in your model training had changed over time. The performance of your machine learning model has increased as computing power gets cheaper.18. ######QUESTION#########As a ML engineer , you have to develop ML framework.Which are benefits of using a framework for your machine learning project? (Choose 2) Pre-made collection of resources. Provides a way to document your code. Can help you do things faster. Ensures your models are highly accurate.19. ######QUESTION#########Which of the following will likely be most effective in incorporating the topic of ethics in your ML project? Implementing an Ethics Policy and requiring project members to sign it. Insist that the local newspaper runs a story on your new ML model. Conduct a Worst Case Workshop.20. ######QUESTION#########What deployment strategy might you recommend if you were unsure how your model might perform under the heavy load in production? Rapid Application Deployment Canary Deployment Big Bang Deployment21. ######QUESTION#########Which of the following is NOT a reason cloud computing is often used for machine learning today? Cloud providers have made available easy access to many machine learning services without the need to create whole models from scratch. Cloud computing allows for quick access to sophisticated equipment. The distributed nature of cloud computing allows for less expensive model development.22. ######QUESTION#########You conduct a survey via your website to ask what type of blog articles people most want. Your normal traffic is 100 visitors a day but you receive 4 responses. What type of bias might be present here? Participation Bias Sampling Bias Symbolic Bias23. ######QUESTION#########In reviewing the testing results from your new ML model, you notice that results are very consistent but that they are consistently 20% higher than they should be. What might you say about your model? High Accuracy, Low Precision High Accuracy, High Precision Low Accuracy, High Precision24. ######QUESTION#########Which best describes A/B Testing? (Choose 2) Because our order processing system is loosely coupled with our inventory system, we will be temporarily queueing orders over the weekend as we upgrade the inventory system. Then, next weekend, we will upgrade the order processing system. We will be rolling out our new customer recommendation engine to a small percentage of customers to evaluate the results. For a period of time, we're going to be running two customer databases and manually syncing records between them until we can upgrade the other portions of our eCommerce site. Because our inventory and accounting systems are very tightly coupled, we will be upgrading both systems over the holiday weekend.25. ######QUESTION#########What stage in the machine learning project process should you consider potential bias? Training Data Preparation Problem Framing stage26. ######QUESTION#########If we assume that all Canadians also speak French, what type of bias might this be? Sampling Bias Group Attribution Bias Automation Bias27. ######QUESTION#########Which one of these is not a common machine learning programming language? R Jupyter Notebook Julia28 out of 3Please fill in the comment box below.
