[Feb 18, 2022] C1000-059 Exam Dumps - Try Best C1000-059 Exam Questions - BraindumpsVCE
Verified C1000-059 exam dumps Q&As with Correct 64 Questions and Answers
NEW QUESTION 14
If the distribution of the height of American men is approximately normal, with a mean of 69 inches and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights between and .
- A. 71.5 inches and 76.5 inches
- B. 66.5 inches and 69 inches
- C. 64 inches and 74 inches
- D. 66.5 inches and 71.5 inches
Answer: B
NEW QUESTION 15
Which is a technique that automates the handling of categorical variables?
- A. binary encoding
- B. decoding
- C. one-hot encoding
- D. autoencoding
Answer: C
NEW QUESTION 16
What is the meaning of "deep" in deep learning?
- A. The higher the number of machine learning algorithms that can be applied, the deeper is the learning.
- B. A kind of deeper understanding achieved by any approach taken.
- C. It indicates the many layers contributing to a model of the data.
- D. To go deep into the loss function landscape.
Answer: C
NEW QUESTION 17
What is used to scale large positive values during data cleaning?
- A. subtract median
- B. square
- C. logarithm
- D. division by random numbers
Answer: D
NEW QUESTION 18
After importing a Jupyter notebook and CSV data file into IBM Watson Studio in the IBM Public Cloud project, it is discovered that the notebook code can no longer access the CSV file.
What is the most likely reason for this problem?
- A. The CSV file is stored in a Cloud Object Storage.
- B. The CSV file is stored in a Watson Machine Learning instance and is only accessible via REST API.
- C. CSV files cannot be used as data sources in Watson Studio.
- D. The CSV file was converted to a binary blob and must be converted in the notebook code.
Answer: A
NEW QUESTION 19
Which test is applied to determine the relationship between two categorical variables?
- A. z test
- B. paired t-test
- C. chi squared test
- D. t-test
Answer: C
NEW QUESTION 20
Which algorithm is best suited if a client needs full explainability of the machine learning model?
- A. recurrent neural network
- B. decision tree
- C. support vector machine (SVM)
- D. logistic regression
Answer: B
NEW QUESTION 21
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 22
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 23
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 24
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 25
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. k-means
- D. local outlier factor (LOF)
Answer: B
NEW QUESTION 26
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 27
When communicating technical results to business stakeholders, what are three appropriate topics to include?
(Choose three.)
- A. alternative methods to address the business problem
- B. differences between cloud provider portfolios
- C. methods that failed
- D. benefits of cognitive over business analytics
- E. realistic impact on the business measures
- F. newest developments in AI methods
Answer: A,D,E
NEW QUESTION 28
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 29
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 30
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 31
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?
- A. prescriptive analytics
- B. cognitive analytics
- C. descriptive analytics
- D. predictive analytics
Answer: A
NEW QUESTION 32
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 33
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 34
What is the main difference between traditional programming and machine learning?
- A. Machine learning is optimized to run on parallel computing and cloud computing.
- B. Machine learning takes full advantage of SDKs and APIs.
- C. Machine learning does not require explicit coding of decision logic.
- D. Machine learning models take less time to train.
Answer: C
NEW QUESTION 35
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