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Mastering Machine Learning and Networking
Test your knowledge on machine learning concepts, techniques, and networking principles with our comprehensive quiz! Designed for enthusiasts and professionals, this quiz covers a variety of topics to help you gauge your understanding and improve your skills.
Whether you're preparing for certification or simply want to challenge yourself, this quiz will provide:
- A diverse selection of questions ranging from supervised learning to cognitive radio technologies.
- Instant feedback on your performance.
- A chance to deepen your knowledge in key areas.
Supervised learning deals with unlabeled data, while unsupervised learning deals with labelled data.
True
False
Generalization is the ability of a learning machine to perform accurately on new, unseen examples after having experienced a learning dataset.
True
False
A computer program is said to learn from experience E with respect to some task T and some performance measure P if its performance on T, as measured by P, improves with experience E. Suppose we feed a learning algorithm a lot of historical weather data, and have it learn to predict weather. In this setting, what is T?
The weather prediction task
The process of the algorithm examining a large amount of historical weather data
The probability of it correctly predicting a future date’s weather
None of these
Suppose you are working on weather prediction, and you would like to predict whether or not it will be raining at 5pm tomorrow. You want to use a learning algorithm for this. Would you treat this as a classification or a regression problem?
Regression
Classification
Which of these is a reasonable definition of machine learning?
Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed
Machine learning is the science of programming computers
Machine learning learns from labeled data
Machine learning is the field of allowing robots to act intelligently
Which one is a sample application of regression?
Predicting whether a patient has cancer or not
Grouping of similar houses in an are
Forecasting rainfall amount for next day
Predicting if a team will win or not
Which sentence is not true about model accuracy?
Having a high training accuracy may result in an ‘over-fit’ of the data
Doing a train and test on the same dataset will cause very high out-ofsample accuracy
If a model is overly trained to the dataset it may capture noise and produce a non-generalized model
In the context of regression, what is the error of a model?
The difference between the data points and the trend line generated by the algorithm
“out of sample” accuracy
The difference between predicted values
What is a multi-class classifier?
A classifier that can predict multiple field with many discrete values
A classifier that can predict a field with multiple discrete values, such as “Drug A”, “Drug X” or “Drug Y”
A classifier that can predict a field with two discrete values, such as “Defaulter” or “Not Defaulter”
Which of the following statements are true about KNN?
The KNN algorithm is a classification algorithm
The KNN algorithm classify cases based on their similarity to other cases
The KNN algorithm works only with Euclidian distance
The bigger K is in KNN, the accuracy of the algorithm is better
Which one is the more ideal classifier?
The classifier with F1-score close to one
The classifier with logloss close to one
The classifier with jaccard-index close to zero
Which of the following sentence is not true about Decision Tree?
Decision trees are built by splitting the training set into distinct nodes
One node in a Decision tree contains all of or most of, one category of the data
A Decision Tree is a type of clustering approach that can predict the class of a group, for example, Drug A or Drug B
What is the meaning of Entropy in Decision Tree?
The entropy in a node is the amount of information disorder calculated in each node
The entropy in a node is the weighted information in its parent node
The entropy in anode is the number of similar data in that node
Information gain is the information that can increase the level of certainty after splitting
True
False
Suppose you are working on weather prediction, and use a learning algorithm to predict tomorrow's temperature (in degrees Centigrade/Fahrenheit). Would you treat this as a classification or a regression problem
Classification
Regression
Which of the following is not true about Machine Learning? Machine Learning was inspired by the learning process of human beings.
Machine Learning models iteratively learn from data, and allow computers to find hidden insights
Machine Learning models help us in tasks such as object recognition, summarization, and recommendation
Machine learning gives computers the ability to make decision by writing down rules and methods and being explicitly programmed
The "Regression" technique in Machine Learning is a group of algorithms that are used for:
Predicting a continuous value; for example predicting the price of a house based on its characteristics.
Prediction of class/category of a case; for example a cell is benign or malignant, or a customer will churn or not.
Finding items/events that often co-occur; for example grocery items that are usually bought together by a customer.
What does the acronym 'CLV' stand for ?
Companies logical value
Costumers logical valuation
Costumer lifetime value
Company lifetime valuation
The recommendation engine is a sit of smart algorithms depicting costumers behavior and making a prediction about possible future needs of a product or service, is it
True
False
............. Analysis allows assessment of the costumer positive or negative reaction to the service or product.
Costumer sentiment analysis
Predictive analysis
Fraud detection
Pick the phrase that best describes Software Defined Networking (SDN)
SDN is a network architecture approach that enables the network to be intelligently and centrally controlled, or 'programmed,' using software applications.
SDN is a protocol that enables communications between network devices.
SDN is an application that can be used to manage networks.
SDN is a network device of advanced features.
What are the 3 layers that make up SDN?
The network layer, 2) The physical layer, and 3) The transport layer
The application layer, 2) The control layer, and 3) The infrastructure layer
The application layer, 2) The transport layer, and 3) The network layer
The transport layer, 2) The network layer, and 3) The datalink layer
Pick the phrase that best describes OpenFlow
OpenFlow is a protocol used for the communication between the application layer and the SDN controller.
OpenFlow is a protocol used for the communication between network devices from different vendors.
OpenFlow is a protocol used for the communication between the SDN controller and the network devices in the physical layer.
OpenFlow is a protocol used for the communication between the OpenFlow switch and the physical switch.
Inefficient routing decisions can lead to the over-loading of network links and increase the end-to-end transmission delay, which affect the overall performance of SDN.
True
False
……………is a measure of the delight or annoyance of a customer's experiences with a service (e.g., web browsing, phone call, TV broadcast).
Quality of service
Quality of Experience
Network intrusion detection systems (NIDS) is a device or software application and its objective is to monitor the events in a network system and identify possible attacks.
True
False
The technology of cognitive radio is an innovative technology designed to increase the efficiency of radio frequency channels?
True
False
The most important part of technology of cognitive radio is the allocation of frequency channels, the search for free and busy channels (sensing) in the process of transmitting traffic.
True
False
…………….is a band of frequencies assigned to a primary user, but at a particular time and specific geographic locations, the band is not being utilized by the user
Spectrum hole
Spectrum pooling
………….users have license to use a certain frequency spectrum
Primary user
Secondary user
What is the intellectual process of cognitive radio based on cognition circle?
Observe- Decide- Act -Learn
Observe-Act-Decide-Learn
Learn-observe-Decide-Act
Learn-Act-observe-Decide
………..is the main function in cognitive radio. During this process, the unused spectrum is detected and it is being used opportunistically.
Spectrum management
Spectrum sensing
Spectrum mobility
………………..cognitive radio selects the channel after detecting the spectrum holes and the channel is selected based on the requirement of user communication.
Spectrum management
Spectrum sensing
Spectrum mobility
Google Docs is a type of cloud computing.
True
False
Which of these should a company consider before implementing cloud computing technology?
Employee satisfaction
Potential cost reduction
Information sensitivity
All of the above
Cloud computing eliminates the costs and complexity of buying, configuring, and managing the hardware and software needed to build and deploy applications; these applications are delivered as a service over the Internet (the cloud).
True
False
"Cloud" in cloud computing represents what?
Wireless
Hard drives
People
Internet
What is the number one concern about cloud computing?
Too expensive
Security concerns
Too many platforms
Accessibility
Deployment Models are
Public Cloud, Protected Cloud and Default Cloud
Community Cloud, Hybrid Cloud and Protected Cloud
ϝPublic Cloud, Hybrid Cloud and Private Cloud
Public cloud, Hybrid Cloud and Default Cloud
What is Cloud Computing replacing?
Corporate data centers
Expensive personal computer hardware
Expensive software upgrades
All of the above
Which of these companies is not a leader in cloud computing?
Google
Amazon
Blackboard
Microsoft
What is customer lifetime value?
A customer's worth to a business in their initial purchase from you.
A customer's worth to a business over a specified period of time.
A customer's worth based on the online purchases that they make.
A customer's worth to a business over the lifetime of the relationship.
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