2022年最新のC1000-059問題集PDFでC1000-059リアル試験問題解答 [Q33-Q54]

2022年最新のC1000-059問題集PDFでC1000-059リアル試験問題解答

有効なC1000-059テスト解答とIBM C1000-059試験PDF問題を試そう

質問 33
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. reinforcement learning
C. unsupervised learning
D. supervised learning

正解: D

質問 34
Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

A. Do not apply any data transformation or feature extraction or feature engineering steps.
B. Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.
C. Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.
D. Leverage only deep learning algorithms.

正解: A

質問 35
When should median value be used instead of mean value for imputing missing data?

A. for normally distributed data
B. for real numbers
C. for large data sets
D. for skewed data

正解: C

質問 36
Which is an example of a nominal scale data?

A. a variable temperature with a scale of values low, medium, and high
B. a variable industry with categorical values such as financial, engineering, and retail
C. a variable bank account balance whose possible values are $5, $10, and $15
D. a variable mood with a scale of values unhappy, ok, and happy

正解: C

質問 37
What is a class of machine learning problems where the algorithm is given feedback in the form of positive or negative reward in a dynamic environment?

A. reinforcement learning
B. feedback-based optimization
C. reward learning
D. dynamic programming

正解: A

質問 38
Which is the most important thing to ensure while collecting data?

A. samples collected are skewed with each other
B. samples collected adequately cover the space of all possible scenarios
C. samples collected focus only on the most common cases
D. samples collected are all strongly correlated with each other

正解: A

質問 39
What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark?
(Choose three.)

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

正解: B,C,F

質問 40
Which one is the most appropriate use case for artificial intelligence (AI)?

A. compressing large video files
B. aggregating sales revenue per state
C. detecting objects in video streams
D. creating a pivot table with monthly costs

正解: B

質問 41
Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?

A. statistical
B. dictionary
C. complex pattern-based
D. regex

正解: A

質問 42
What is the primary role of a data steward?

A. they have a strong understanding of the enterprise's database architecture
B. they are a "blue sky thinker" who comes up with new approaches to use new data in innovative ways
C. the one who collects, processes, and performs statistical analysis on data
D. they define data processes to meet compliance and regulatory obligations

正解: C

質問 43
In which example would recall be preferred over precision?

A. detection of malignant tumors
B. book recommendation
C. recall is always preferred
D. identify suitable candidates for a job

正解: A

質問 44
Which statement defines p-value?

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

正解: D

質問 45
What are the various components that make up a time series data?

A. trend, noise, kurtosis
B. trend, seasonality, causation
C. trend, seasonality, noise
D. trend, noise, covariance

正解: C

質問 46
Which is a technique that automates the handling of categorical variables?

A. one-hot encoding
B. binary encoding
C. decoding
D. autoencoding

正解: A

質問 47
What is the best step by step order for machine learning pipeline?

正解:

解説:

質問 48
What is used to scale large positive values during data cleaning?

A. subtract median
B. division by random numbers
C. logarithm
D. square

正解: B

質問 49
The least squares optimization technique (The Method of Least Squares) is used in which algorithm?

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

正解: D

質問 50
Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)

A. standard deviation = 0.5
B. standard deviation = 1
C. expected value = 1
D. expected value = 0
E. expected value = 0.5

正解: B,E

質問 51
With only limited labeled data available how might a neural network use case be realized?

A. by using a customized pre-trained model
B. by creating random data
C. by increasing the depth of the neural network
D. by assigning random labels

正解: A

質問 52
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 is critical for achieving high accuracy in training.
C. It makes it possible to create reports for management dynamically using specific parameters from executives.
D. It allows integration within business applications.
E. It is only possible on the cloud because they require a large amount of compute resources.

正解: A,B

質問 53
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?