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NEW QUESTION 17
Which situation would disqualify a machine learning system from being used for a particular use case?
- A. Data for the machine learning model is available only as static CSV files.
- B. The use case requires a 100% likelihood of making a correct/true prediction.
- C. The neural network for the model requires significantly more computing power than a logistic regression model.
- D. Training and testing data for the model contain outliers.
Answer: C
NEW QUESTION 18
Which two statements are correct about deploying machine learning models? (Choose two.)
- A. It is critical for achieving high accuracy in training.
- B. It is a necessary step in training and evaluating the performance of the models.
- C. It is only possible on the cloud because they require a large amount of compute resources.
- D. It allows integration within business applications.
- E. It makes it possible to create reports for management dynamically using specific parameters from executives.
Answer: A,B
NEW QUESTION 19
What are two methods used to detect outliers in structured data? (Choose two.)
- A. isolation forest
- B. multi-label classification
- C. Word2Vec
- D. one class Support Vector Machine (SVM)
- E. gradient descent
Answer: A,D
NEW QUESTION 20
What are the various components that make up a time series data?
- A. trend, noise, covariance
- B. trend, seasonality, noise
- C. trend, seasonality, causation
- D. trend, noise, kurtosis
Answer: B
NEW QUESTION 21
Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?
- A. variance
- B. skewness
- C. accuracy
- D. mean
Answer: C
NEW QUESTION 22
Which statement defines p-value?
- A. It is the probability of rejecting a null hypothesis when the hypothesis is proven false.
- B. It is the probability of accepting a null hypothesis when the hypothesis is proven false.
- C. It is the probability of accepting a null hypothesis when the hypothesis is proven true.
- D. It is the probability of rejecting a null hypothesis when the hypothesis is proven true.
Answer: B
NEW QUESTION 23
What is a class of machine learning problems where the algorithm builds a mathematical model from a set of data that contains both the inputs and the desired outputs?
- A. mentoring
- B. supervised learning
- C. unsupervised learning
- D. reinforcement learning
Answer: B
NEW QUESTION 24
Considering one ML application is deployed using Kubernetes, its output depends on the data which is constantly stored in the model, if needing to scale the system based on available CPUs, what feature should be enabled?
- A. horizontal pod autoscaling
- B. persistent storage
- C. vertical pod autoscaling
- D. node self-registration mode
Answer: B
NEW QUESTION 25
Given two multidimensional arrays of the same data type, A and B which two Python NumPy statements give the matrix product of the two matrices? (Choose two.)
- A. np.dot(A,B)
- B. A @ B
- C. A * B
- D. A × B
- E. np.matprod(A,B)
Answer: C,E
NEW QUESTION 26
What is the technique called for vectorizing text data which matches the words in different sentences to determine if the sentences are similar?
- A. Sack of Sentences
- B. Box of Lexicon
- C. Bag of Words
- D. Cup of Vectors
Answer: C
NEW QUESTION 27
Given the following matrix multiplication:
What is the value of P?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
NEW QUESTION 28
In which example would recall be preferred over precision?
- A. identify suitable candidates for a job
- B. detection of malignant tumors
- C. recall is always preferred
- D. book recommendation
Answer: B
NEW QUESTION 29
The formula for recall is given by (True Positives) / (True Positives + False Negatives). What is the recall for this example?
- A. 0.5
- B. 0.2
- C. 0.33
- D. 0.25
Answer: D
NEW QUESTION 30
Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)
- A. Swift
- B. C/C++
- C. Node.js
- D. PHP
- E. Java
- F. Python
Answer: C,E,F
NEW QUESTION 31
What is meant by part-of-speech tagging in the context of text analytics?
- A. translates word by word
- B. determines the category of a word, e.g nouns
- C. finds the root word
- D. replaces words with synonyms, e g. answer for reply
Answer: B
NEW QUESTION 32
What is the best step by step order for machine learning pipeline?
Answer:
Explanation:
NEW QUESTION 33
A data scientist is exploring transaction data from a chain of stores with several locations. The data includes store number, date of sale, and purchase amount.
If the data scientist wants to compare total monthly sales between stores, which two options would be good ways to aggregate the data? (Choose two.)
- A. Find the sum of the transaction prices
- B. Generate a pivot table
- C. Write a GROUP BY query
- D. Select the largest transaction amount by month and store
- E. Plot a time series plot of transaction amounts
Answer: D,E
NEW QUESTION 34
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