(PDF) IBM Data and AI: Data and AI C1000-059 Exam and Certification Test Engine

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NEW QUESTION 32
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?

• A. predictive analytics
• B. cognitive analytics
• C. prescriptive analytics
• D. descriptive analytics

Answer: C

 

NEW QUESTION 33
In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?

• A. normalized correlation
• B. Fourier transform
• C. OCR
• D. Hough transformation

Answer: A

 

NEW QUESTION 34
What are two key characteristics of cloud architecture that could benefit AI applications? (Choose two.)

• A. constant attention needed for maintenance and support of the cloud platform
• B. capable of managing and handling dynamic workloads with automatic recovery from failures
• C. hybrid clouds enable the deployment of distributed large neural networks
• D. support for common business oriented language (COBOL) applications
• E. the hardware requirement can be scaled up as per the demand

Answer: B,E

 

NEW QUESTION 35
A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below:

In this sample, how many cases are false positives and false negatives?

• A. 73 false positives and 81 false negatives
• B. 33 false positives and 81 false negatives
• C. 81 false positives and 73 false negatives
• D. 81 false positives and 33 false negatives

Answer: B

 

NEW QUESTION 36
What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark?
(Choose three.)

• A. data preprocessing
• B. business understanding
• C. data exploration
• D. model building
• E. use case selection
• F. model prediction

Answer: A,C,F

 

NEW QUESTION 37
What is the first step in creating a custom model in Watson Visual Recognition service?

• A. Document the errors from the built in models.
• B. Use IBM SPSS to create new machine learning classifiers.
• C. Obtain image files containing objects to be classified and organize them into classes.
• D. Test the newly trained model.

Answer: B

 

NEW QUESTION 38
Which distance is applied for multivariate outlier detection?

• A. Euclidean distance
• B. Mahalanobis distance
• C. Manhattan distance
• D. Minkowski distance

Answer: B

 

NEW QUESTION 39
Which IBM Watson Machine Learning deployment method offers the ultimate flexibility in deploying a machine learning model?

• A. Watson Studio Project
• B. Watson Machine Learning FORTRAN client
• C. Watson Machine Learning Python client
• D. Watson Machine Learning REST API

Answer: D

 

NEW QUESTION 40
What is meant by the curse of dimensionality?

• A. The number of available algorithms for a given task is high.
• B. The data sparsity becomes more severe as the number of features is increased.
• C. The number of available data sources for a given task is high.
• D. The data sparsity becomes more severe as the number of samples is increased.

Answer: C

 

NEW QUESTION 41
Given the following matrix multiplication:

What is the value of P?

• A. 0
• B. 1
• C. 2
• D. 3

Answer: C

 

NEW QUESTION 42
Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?

• A. random search
• B. hyperband
• C. grid search
• D. population based training

Answer: B

 

NEW QUESTION 43
Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?

• A. variance
• B. accuracy
• C. skewness
• D. mean

Answer: B

 

NEW QUESTION 44
Which statement is true in the context of evaluating metrics for machine learning algorithms?

• A. Using only one evaluation metric is sufficient
• B. The F-score is always equal to precision
• C. Recall of 1 (100%) is always a good result
• D. A random classifier has AUC (the area under ROC curve) of 0.5

Answer: A

 

NEW QUESTION 45
What is the best step by step order for machine learning pipeline?

Answer:

Explanation:

 

NEW QUESTION 46
The least squares optimization technique (The Method of Least Squares) is used in which algorithm?

• A. Linear regression
• B. Logistic regression
• C. Naive Bayes classification
• D. Support Vector Machines

Answer: A

 

NEW QUESTION 47
Which two statements are correct about deploying machine learning models? (Choose two.)

• A. It is a necessary step in training and evaluating the performance of the models.
• B. It makes it possible to create reports for management dynamically using specific parameters from executives.
• C. It is only possible on the cloud because they require a large amount of compute resources.
• D. It is critical for achieving high accuracy in training.
• E. It allows integration within business applications.

Answer: A,D

 

NEW QUESTION 48
What is an example of a supervised machine learning algorithm that can be applied to a continuous numeric response variable?

• A. naive Bayes
• B. linear regression
• C. local outlier factor (LOF)
• D. k-means

Answer: B

 

NEW QUESTION 49
Which statement defines p-value?

• A. It is the probability of accepting a null hypothesis when the hypothesis is proven false.
• B. It is the probability of rejecting a null hypothesis when the hypothesis is proven true.
• 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 false.

Answer: A

 

NEW QUESTION 50
What are two methods used to detect outliers in structured data? (Choose two.)

• A. Word2Vec
• B. one class Support Vector Machine (SVM)
• C. isolation forest
• D. gradient descent
• E. multi-label classification

Answer: B,C

 

NEW QUESTION 51
What is the main difference between traditional programming and machine learning?

• A. Machine learning does not require explicit coding of decision logic.
• B. Machine learning takes full advantage of SDKs and APIs.
• C. Machine learning is optimized to run on parallel computing and cloud computing.
• D. Machine learning models take less time to train.

Answer: A

 

NEW QUESTION 52
Which test is applied to determine the relationship between two categorical variables?

• A. chi squared test
• B. t-test
• C. z test
• D. paired t-test

Answer: A

 

NEW QUESTION 53
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 neural network for the model requires significantly more computing power than a logistic regression model.
• C. The use case requires a 100% likelihood of making a correct/true prediction.
• D. Training and testing data for the model contain outliers.

Answer: B

 

NEW QUESTION 54
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