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Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Which of the following scheduler policies are preemptive?
A. FIFO (First In, First Out)
B. SJF (Shortest Job First)
C. STCF (Shortest Time to Completion First)
D. RR (Round Robin)
Answer: C,D
Details: STCF (Sh... | epfl-collab |
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Example :
Question: Which of the following are correct implementation for acquire function ? Assume 0 means UNLOCKED and 1 means LOCKED. Initially l->locked = 0.
A. c
void acquire(struct lock *l)
{
for(;;)
if... | epfl-collab |
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Example :
Question: In which of the following cases does JOS acquire the big kernel lock?
A. Processor traps in user mode
B. Processor traps in kernel mode
C. Switching from kernel mode to user mode
D. Initialization of applicati... | epfl-collab |
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Example :
Question: Assume a user program executes following tasks. Select all options that will use a system call.
A. Read the user's input "Hello world" from the keyboard.
B. Write "Hello world" to a file.
C. Encrypt "Hello wor... | epfl-collab |
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Example :
Question: What are the drawbacks of non-preemptive scheduling compared to preemptive scheduling?
A. It can lead to starvation especially for those real-time tasks
B. Less computational resources need for scheduling and ... | epfl-collab |
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Example :
Question: Select valid answers about file descriptors (FD):
A. The value of FD is unique for every file in the operating system.
B. FD is usually used as an argument for read and write.
C. FD is constructed by hashing t... | epfl-collab |
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Example :
Question: Suppose a file system used only for reading immutable files in random fashion. What is the best block allocation strategy?
A. Linked-list allocation
B. Continuous allocation
C. Index allocation with B-tree
D. ... | epfl-collab |
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Example :
Question: Which of the following operations would switch the user program from user space to kernel space?
A. Dividing integer by 0.
B. Calling sin() in math library.
C. Invoking read() syscall.
D. Jumping to an invalid... | epfl-collab |
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Example :
Question: Which flag prevents user programs from reading and writing kernel data?
A. PTE_P
B. PTE_U
C. PTE_D
D. PTE_W
Answer: B
Details: PTE_U | epfl-collab |
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Example :
Question: In which of the following cases does the TLB need to be flushed?
A. Inserting a new page into the page table for a user-space application.
B. Deleting a page from the page table.
C. Changing the read/write per... | epfl-collab |
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Example :
Question: In x86, select all synchronous exceptions?
A. Divide error
B. Timer
C. Page Fault
D. Keyboard
Answer: A,C
Details: Divide error.Page Fault | epfl-collab |
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Example :
Question: Which of the execution of an application are possible on a single-core machine?
A. Concurrent execution
B. Parallel execution
C. Both concurrent and parallel execution
D. Neither concurrent or parallel executi... | epfl-collab |
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Example :
Question: In an x86 multiprocessor system with JOS, select all the correct options. Assume every Env has a single thread.
A. Two Envs could run on the same processor simultaneously.
B. Two Envs could run on two differen... | epfl-collab |
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Example :
Question: In JOS, suppose a value is passed between two Envs. What is the minimum number of executed system calls?
A. 1
B. 2
C. 3
D. 4
Answer: B
Details: 2 | epfl-collab |
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Example :
Question: What strace tool does?
A. It prints out system calls for given program. These system calls are always called when executing the program.
B. It prints out system calls for given program. These systems calls are... | epfl-collab |
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Example :
Question: What is a good distance metric to be used when you want to compute the similarity between documents independent of their length?A penalty will be applied for any incorrect answers.
A. Cosine similarity
B. Eucl... | epfl-collab |
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Example :
Question: For this question, one or more assertions can be correct. Tick only the correct assertion(s). There will be a penalty for wrong assertions ticked.Which of the following associations can be considered as illust... | epfl-collab |
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Example :
Question: Which of the following statements are true?
A. The more training
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examples, the more accurate the prediction of a $k$-ne... | epfl-collab |
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Example :
Question: Let $n$ be an integer such that $n\geq 2$ and let $A \in \R^{n imes n}$, and $xv \in \R^n$, consider the function $f(xv) = xv^ op A xv$ defined over $\R^n$. Which of the following is the gradient of the funct... | epfl-collab |
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Example :
Question: In Text Representation learning, which of the following statements is correct?
A. Learning GloVe vectors can be done using SGD in a streaming fashion, by streaming through the input text only once.
B. Every re... | epfl-collab |
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Example :
Question: Consider a matrix factorization problem of the form $\mathbf{X}=\mathbf{W Z}^{\top}$ to obtain an item-user recommender system where $x_{i j}$ denotes the rating given by $j^{\text {th }}$ user to the $i^{\tex... | epfl-collab |
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Example :
Question: Consider the loss function $L: \R^d o \R$, $L(\wv) = rac{eta}{2}\|\wv\|^2$, where $eta > 0$ is a constant. We run gradient descent on $L$ with a stepsize $\gamma > 0$ starting from some $\wv_0
eq 0$. Whic... | epfl-collab |
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Example :
Question: You are doing your ML project. It is a regression task under a square loss. Your neighbor uses linear regression and least squares. You are smarter. You are using a neural net with 10 layers and activations fu... | epfl-collab |
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Example :
Question: Let $f:\R^D
ightarrow\R$ be an $L$-hidden layer multi-layer perceptron (MLP) such that
\[
f(xv)=\sigma_{L+1}ig(\wv^ op\sigma_L(\Wm_L\sigma_{L-1}(\Wm_{L-1}\dots\sigma_1... | epfl-collab |
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Example :
Question: Which of the following is correct regarding Louvain algorithm?
A. It creates a hierarchy of communities with a common root
B. Clique is the only topology of nodes where the algorithm detects the same communiti... | epfl-collab |
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Example :
Question: Let the first four retrieved documents be N N R R, where N denotes a non-relevant and R a relevant document. Then the MAP (Mean Average Precision) is:
A. 1/2
B. 5/12
C. 3/4
D. 7/24
Answer: B
Details: 5/12 | epfl-collab |
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Example :
Question: Which of the following is true?
A. High precision implies low recall
B. High precision hurts recall
C. High recall hurts precision
D. High recall implies low precision
Answer: B,C
Details: High precision hurts... | epfl-collab |
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Example :
Question: The inverse document frequency of a term can increase
A. by adding the term to a document that contains the term
B. by removing a document from the document collection that does not contain the term
C. by addi... | epfl-collab |
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Example :
Question: Which of the following is wrong regarding Ontologies?
A. We can create more than one ontology that conceptualize the same real-world entities
B. Ontologies help in the integration of data expressed in differen... | epfl-collab |
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Example :
Question: In a Ranked Retrieval result, the result at position k is non-relevant and at k+1 is relevant. Which of the following is always true (P@k and R@k are the precision and recall of the result set consisting of th... | epfl-collab |
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Example :
Question: What is true regarding Fagin's algorithm?
A. It performs a complete scan over the posting files
B. It provably returns the k documents with the largest aggregate scores
C. Posting files need to be indexed by T... | epfl-collab |
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Example :
Question: Which of the following is WRONG for Ontologies?
A. Different information systems need to agree on the same ontology in order to interoperate.
B. They help in the integration of data expressed in different mode... | epfl-collab |
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Example :
Question: What is the benefit of LDA over LSI?
A. LSI is sensitive to the ordering of the words in a document, whereas LDA is not
B. LDA has better theoretical explanation, and its empirical results are in general bette... | epfl-collab |
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Example :
Question: Maintaining the order of document identifiers for vocabulary construction when partitioning the document collection is important
A. in the index merging approach for single node machines
B. in the map-reduce a... | epfl-collab |
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Example :
Question: Which of the following is correct regarding Crowdsourcing?
A. Random Spammers give always the same answer for every question
B. It is applicable only for binary classification problems
C. Honey Pot discovers a... | epfl-collab |
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Example :
Question: When computing PageRank iteratively, the computation ends when...
A. The difference among the eigenvalues of two subsequent iterations falls below a predefined threshold
B. The norm of the difference of rank v... | epfl-collab |
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Example :
Question: How does LSI querying work?
A. The query vector is treated as an additional term; then cosine similarity is computed
B. The query vector is transformed by Matrix S; then cosine similarity is computed
C. The qu... | epfl-collab |
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Example :
Question: Suppose that an item in a leaf node N exists in every path. Which one is correct?
A. N co-occurs with its prefix in every transaction.
B. For every node P that is a parent of N in the fp tree, confidence(P->N)... | epfl-collab |
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Example :
Question: In a Ranked Retrieval result, the result at position k is non-relevant and at k+1 is relevant. Which of the following is always true (P@k and R@k are the precision and recall of the result set consisting of th... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: For the number of times the apriori algorithm and the FPgrowth algorithm for association rule mining are scanning the transaction database the following is true
A. fpgrowth has always strictly fewer scans than... | epfl-collab |
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Example :
Question: Given the following teleporting matrix (Ε) for nodes A, B and C:[0 ½ 0][0 0 0][0 ½ 1]and making no assumptions about the link matrix (R), which of the following is correct:(Reminder: columns... | epfl-collab |
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Example :
Question: Which of the following methods does not exploit statistics on the co-occurrence of words in a text?
A. Word embeddings
B. Transformers
C. Vector space retrieval
D. Fasttext
Answer: C
Details: Vector s... | epfl-collab |
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Example :
Question: Which attribute gives the best split?A1PNa44b44A2PNx51y33A3PNt61j23
A. A1
B. A3
C. A2
D. All the same
Answer: B
Details: A3 | epfl-collab |
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Example :
Question: Suppose that q is density reachable from p. The chain of points that ensure this relationship are {t,u,g,r} Which one is FALSE?
A. {t,u,g,r} have to be all core points.
B. p and q will also be density-connecte... | epfl-collab |
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Example :
Question: In User-Based Collaborative Filtering, which of the following is correct, assuming that all the ratings are positive?
A. Pearson Correlation Coefficient and Cosine Similarity have different value range, but re... | epfl-collab |
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Example :
Question: The term frequency of a term is normalized
A. by the maximal frequency of all terms in the document
B. by the maximal frequency of the term in the document collection
C. by the maximal frequency of any term in... | epfl-collab |
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Example :
Question: Which is an appropriate method for fighting skewed distributions of class labels in classification?
A. Include an over-proportional number of samples from the larger class
B. Use leave-one-out cross validation... | epfl-collab |
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Example :
Question: Thang, Jeremie and Tugrulcan have built their own search engines. For a query Q, they got precision scores of 0.6, 0.7, 0.8 respectively. Their F1 scores (calculated by same parameters) are same. Whose search... | epfl-collab |
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Example :
Question: When compressing the adjacency list of a given URL, a reference list
A. Is chosen from neighboring URLs that can be reached in a small number of hops
B. May contain URLs not occurring in the adjacency list of ... | epfl-collab |
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Example :
Question: Data being classified as unstructured or structured depends on the:
A. Degree of abstraction
B. Level of human involvement
C. Type of physical storage
D. Amount of data
Answer: A
Details: Degree of abstractio... | epfl-collab |
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Example :
Question: Suppose you have a search engine that retrieves the top 100 documents and
achieves 90% precision and 20% recall. You modify the search engine to
retrieve the top 200 and mysteriously, the precision stays the s... | epfl-collab |
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Example :
Question: In the χ2 statistics for a binary feature, we obtain P(χ2 | DF = 1) > 0.05. This means in this case, it is assumed:
A. That the class labels depends on the feature
B. That the class label is independent of the... | epfl-collab |
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Example :
Question: Which of the following is correct regarding the use of Hidden Markov Models (HMMs) for entity recognition in text documents?
A. The cost of learning the model is quadratic in the lengths of the text.
B. The co... | epfl-collab |
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Example :
Question: 10 itemsets out of 100 contain item A, of which 5 also contain B. The rule A -> B has:
A. 5% support and 10% confidence
B. 10% support and 50% confidence
C. 5% support and 50% confidence
D. 10% support and 10%... | epfl-collab |
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Example :
Question: Which of the following is correct regarding the use of Hidden Markov Models (HMMs) for entity recognition in text documents?
A. HMMs cannot predict the label of a word that appears only in the test set
B. If t... | epfl-collab |
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Example :
Question: A basic statement in RDF would be expressed in the relational data model by a table
A. with one attribute
B. with two attributes
C. with three attributes
D. cannot be expressed in the relational data model
Ans... | epfl-collab |
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Example :
Question: Which of the following statements is wrong regarding RDF?
A. An RDF statement would be expressed in SQL as a tuple in a table
B. Blank nodes in RDF graphs correspond to the special value NULL in SQL
C. The obj... | epfl-collab |
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Example :
Question: The number of non-zero entries in a column of a term-document matrix indicates:
A. how many terms of the vocabulary a document contains
B. how often a term of the vocabulary occurs in a document
C. how relevan... | epfl-collab |
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Example :
Question: What is TRUE regarding Fagin's algorithm?
A. Posting files need to be indexed by TF-IDF weights
B. It performs a complete scan over the posting files
C. It never reads more than (kn)1⁄2 entries from a posting ... | epfl-collab |
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Example :
Question: A false negative in sampling can only occur for itemsets with support smaller than
A. the threshold s
B. p*s
C. p*m
D. None of the above
Answer: D
Details: None of the above | epfl-collab |
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Example :
Question: Why is XML a document model?
A. It supports application-specific markup
B. It supports domain-specific schemas
C. It has a serialized representation
D. It uses HTML tags
Answer: C
Details: It has a serialized ... | epfl-collab |
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Example :
Question: A retrieval model attempts to capture
A. the interface by which a user is accessing information
B. the importance a user gives to a piece of information for a query
C. the formal correctness of a query formula... | epfl-collab |
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Example :
Question: When computing HITS, the initial values
A. Are set all to 1
B. Are set all to 1/n
C. Are set all to 1/sqrt(n)
D. Are chosen randomly
Answer: C
Details: Are set all to 1/sqrt(n) | epfl-collab |
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Example :
Question: When indexing a document collection using an inverted file, the main space requirement is implied by
A. The access structure
B. The vocabulary
C. The index file
D. The postings file
Answer: D
Details: The post... | epfl-collab |
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Example :
Question: For a user that has not done any ratings, which method can make a prediction?
A. User-based collaborative RS
B. Item-based collaborative RS
C. Content-based RS
D. None of the above
Answer: ['none of the above'... | epfl-collab |
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Example :
Question: In an FP tree, the leaf nodes are the ones with:
A. Lowest confidence
B. Lowest support
C. Least in the alphabetical order
D. None of the other options.
Answer: B,D
Details: Lowest support.None of the other op... | epfl-collab |
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Example :
Question: Which statement is correct?
A. The Viterbi algorithm works because words are independent in a sentence
B. The Viterbi algorithm works because it is applied to an HMM model that makes an independence assumption... | epfl-collab |
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Example :
Question: Which of the following is WRONG about inverted files? (Slide 24,28 Week 3)
A. The space requirement for the postings file is O(n)
B. Variable length compression is used to reduce the size of the index file
C. ... | epfl-collab |
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Example :
Question: In User-Based Collaborative Filtering, which of the following is TRUE?
A. Pearson Correlation Coefficient and Cosine Similarity have the same value range and return the same similarity ranking for the users.
B... | epfl-collab |
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Example :
Question: Which of the following is TRUE for Recommender Systems (RS)?
A. The complexity of the Content-based RS depends on the number of users
B. Item-based RS need not only the ratings but also the item features
C. Ma... | epfl-collab |
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Example :
Question: Which of the following properties is part of the RDF Schema Language?
A. Description
B. Type
C. Predicate
D. Domain
Answer: D
Details: Domain | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Which of the following is correct regarding crowdsourcing?
A. Uniform spammers randomly select answers.
B. The accuracy of majority voting is never equal to the one of Expectation Maximization.
C. Honey pots c... | epfl-collab |
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Example :
Question: Given the 2-itemsets {1, 2}, {1, 3}, {1, 5}, {2, 3}, {2, 5}, when generating the 3-itemset we will:
A. Have 4 3-itemsets after the join and 4 3-itemsets after the prune
B. Have 4 3-itemsets after the join and ... | epfl-collab |
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Example :
Question: When using bootstrapping in Random Forests, the number of different data items used to construct a single tree is:
A. Smaller than the size of the training data set with high probability
B. Of order square roo... | epfl-collab |
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Example :
Question: To constrain an object of an RDF statement from being of an atomic type (e.g., String), one has to use the following RDF/RDFS property:
A. rdf:type
B. rdfs:range
C. rdfs:domain
D. rdfs:subClassOf
Answer: B
Det... | epfl-collab |
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Example :
Question: What is a correct pruning strategy for decision tree induction?
A. Apply Maximum Description Length principle
B. Stop partitioning a node when either positive or negative samples dominate the samples of the ot... | epfl-collab |
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Example :
Question: In the first pass over the database of the FP Growth algorithm
A. Frequent itemsets are extracted
B. A tree structure is constructed
C. The frequency of items is computed
D. Prefixes among itemsets are determi... | epfl-collab |
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Example :
Question: In a FP tree, the leaf nodes are the ones with:
A. Lowest confidence
B. Lowest support
C. Least in the alphabetical order
D. None of the above
Answer: ['Lowest support\nNone of the above'] | epfl-collab |
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Example :
Question: Your input is "Distributed Information Systems". Your model tries to predict "Distributed" and "Systems" by leveraging the fact that these words are in the neighborhood of "Information". This model can be:
A. ... | epfl-collab |
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Example :
Question: Considering the transaction below, which one is WRONG?
|Transaction ID |Items Bought|
|--|--|
|1|Tea|
|2|Tea, Yoghurt|
|3|Tea, Yoghurt, Kebap|
|4 |Kebap |
|5|Tea, Kebap|
A. {Yoghurt} -> {Kebab} has 50% confid... | epfl-collab |
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Example :
Question: Which is an appropriate method for fighting skewed distributions of class labels in
classification?
A. Include an over-proportional number of samples from the larger class
B. Use leave-one-out cross validation... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Dude said “I like bowling”. With how many statements can we express this sentence using RDF Reification?
A. We cannot
B. 1
C. 3
D. 5
Answer: ['5.0'] | epfl-collab |
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Example :
Question: Consider the following set of frequent 3-itemsets: {1, 2, 3}, {1, 2, 4}, {1, 2, 5}, {1, 3, 4}, {2, 3, 4}, {2, 3, 5}, {3, 4, 5}. Which one is not a candidate 4-itemset?
A. {1,2,4,5}
B. {1,3,4,5}
C. {2,3,4,5}
D... | epfl-collab |
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Example :
Question: Which of the following is true in the context of inverted files?
A. Index merging compresses an inverted file index on disk and reduces the storage cost
B. The trie structure used for index construction is als... | epfl-collab |
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Example :
Question: Regarding Label Propagation, which of the following is false?
A. The labels are inferred using the labels that are known apriori
B. It can be interpreted as a random walk model
C. Propagation of labels throug... | epfl-collab |
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Example :
Question: The type statement in RDF would be expressed in the relational data model by a table
A. with one attribute
B. with two attributes
C. with three attributes
D. cannot be expressed in the relational data model
An... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Given graph 1→2, 1→3, 2→3, 3→2, switching from Page Rank to Teleporting PageRank will have an influence on the value(s) of:
A. All the nodes
B. Node 1
C. Node 2 and 3
D. No nodes. The values will stay unchange... | epfl-collab |
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Example :
Question: Which of the following is true regarding the random forest classification algorithm?
A. It is not suitable for parallelization.
B. It uses only a subset of features for learning in each weak learner.
C. We com... | epfl-collab |
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Example :
Question: Which of the following properties is part of the RDF Schema Language?
A. Type
B. Predicate
C. Description
D. Domain
Answer: D
Details: Domain | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: How does matrix factorization address the issue of missing ratings?
A. It uses regularization of the rating matrix
B. It performs gradient descent only for existing ratings
C. It sets missing ratings to zero
D... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: When constructing a word embedding, negative samples are
A. word - context word combinations that are not occurring in the document collection
B. context words that are not part of the vocabulary of the docume... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Which of the following tasks would typically not be solved by clustering?
A. Community detection in social networks
B. Discretization of continuous features
C. Spam detection in an email system
D. Detection of... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: In general, what is true regarding Fagin's algorithm?
A. It performs a complete scan over the posting files
B. It provably returns the k documents with the largest aggregate scores
C. Posting files need to be ... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Which of the following statements is correct in the context of information extraction?
A. A confidence measure that prunes too permissive patterns discovered with bootstrapping can help reducing semantic drif... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Which of the following statements on Latent Semantic Indexing (LSI) and Word Embeddings (WE) is correct?
A. LSI is deterministic (given the dimension), whereas WE is not
B. LSI does not take into account the o... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: In vector space retrieval each row of the matrix M corresponds to
A. A document
B. A concept
C. A query
D. A term
Answer: D
Details: A term | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Which of the following is correct regarding prediction models?
A. Training error being less than test error means overfitting
B. Training error being less than test error means underfitting
C. Complex models t... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Applying SVD to a term-document matrix M. Each concept is represented in K
A. as a singular value
B. as a linear combination of terms of the vocabulary
C. as a linear combination of documents in the document c... | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: An HMM model would not be an appropriate approach to identify
A. Named Entities
B. Part-of-Speech tags
C. Concepts
D. Word n-grams
Answer: D
Details: Word n-grams | epfl-collab |
Use this example only if it is relevant to answer precisely the question at the bottom.
Example :
Question: Which of the following is NOT an (instance-level) ontology?
A. Wordnet
B. WikiData
C. Schema.org
D. Google Knowledge Graph
Answer: C
Details: Schema.org | epfl-collab |
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