Get 100% Passing Success With True C1000-059 Exam! [Sep-2021]
IBM C1000-059 PDF Questions - Exceptional Practice To IBM AI Enterprise Workflow V1 Data Science Specialist
NEW QUESTION 13
A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, followed by a second affine transformation (affine2).
Which two explicit functions are implemented by this neural network? (Choose two.)
- A. y = ReLU(affine1(x), affine2(x))
- B. y = max(affine1(x), affine2(x))
- C. y = affine2(ReLU(affine1(x)))
- D. y = affine1(ReLU(affine2(x)))
- E. y = affine2(max(affine1(x), 0))
Answer: C,E
NEW QUESTION 14
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. Cup of Vectors
- C. Bag of Words
- D. Box of Lexicon
Answer: C
NEW QUESTION 15
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 assigning random labels
- C. by increasing the depth of the neural network
- D. by creating random data
Answer: A
NEW QUESTION 16
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. Plot a time series plot of transaction amounts
- B. Generate a pivot table
- C. Select the largest transaction amount by month and store
- D. Find the sum of the transaction prices
- E. Write a GROUP BY query
Answer: A,C
NEW QUESTION 17
Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?
- A. dictionary
- B. statistical
- C. regex
- D. complex pattern-based
Answer: B
NEW QUESTION 18
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. 0.25
- D. 0.33
Answer: C
NEW QUESTION 19
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 Watson Machine Learning instance and is only accessible via REST API.
- B. The CSV file was converted to a binary blob and must be converted in the notebook code.
- C. CSV files cannot be used as data sources in Watson Studio.
- D. The CSV file is stored in a Cloud Object Storage.
Answer: D
NEW QUESTION 20
Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".
- A. 3 bigrams, 4 trigrams
- B. 4 bigrams, 3 trigrams
- C. 3 bigrams, 3 trigrams
- D. 4 bigrams, 4 trigrams
Answer: C
NEW QUESTION 21
What are three operators used by genetic programming? (Choose three.)
- A. mutation
- B. duel
- C. selection
- D. sheltering
- E. crossover
- F. reciprocation
Answer: B,C,E
NEW QUESTION 22
In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?
- A. OCR
- B. normalized correlation
- C. Hough transformation
- D. Fourier transform
Answer: B
NEW QUESTION 23
What is the first step in creating a custom model in Watson Visual Recognition service?
- A. Test the newly trained model.
- 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. Document the errors from the built in models.
Answer: B
NEW QUESTION 24
Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?
- A. grid search
- B. random search
- C. population based training
- D. hyperband
Answer: D
NEW QUESTION 25
The least squares optimization technique (The Method of Least Squares) is used in which algorithm?
- A. Logistic regression
- B. Linear regression
- C. Naive Bayes classification
- D. Support Vector Machines
Answer: B
NEW QUESTION 26
Which two statements are correct about deploying machine learning models? (Choose two.)
- A. It makes it possible to create reports for management dynamically using specific parameters from executives.
- B. It allows integration within business applications.
- C. It is critical for achieving high accuracy in training.
- D. It is a necessary step in training and evaluating the performance of the models.
- E. It is only possible on the cloud because they require a large amount of compute resources.
Answer: C,D
NEW QUESTION 27
Which is an example of a nominal scale data?
- A. a variable mood with a scale of values unhappy, ok, and happy
- B. a variable bank account balance whose possible values are $5, $10, and $15
- C. a variable temperature with a scale of values low, medium, and high
- D. a variable industry with categorical values such as financial, engineering, and retail
Answer: B
NEW QUESTION 28
Given the following matrix multiplication:
What is the value of P?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION 29
In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?
- A. The number of hyperparameters you have to tune.
- B. The amount of computational power you can access.
- C. The presence of local minima in your neural network.
- D. Whether you use batch or mini-batch optimization.
Answer: B
NEW QUESTION 30
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. node self-registration mode
- C. persistent storage
- D. vertical pod autoscaling
Answer: C
NEW QUESTION 31
A classification task has examples that are labeled as belonging to one of two classes:
*90% of the examples belong to class-1
*10% belong to class-2
Which two techniques are appropriate to deal with the class imbalance? (Choose two.)
- A. apply dimensionality reduction to the features before training
- B. after training, divide the model accuracy of each class by the proportion that they represent in the dataset
- C. oversample the minority class and/or undersample the majority class
- D. impose an additional cost on the model for making classification mistakes on the minority class during training
- E. lower the detection threshold of the minority class after training
Answer: B,D
NEW QUESTION 32
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 33
When communicating technical results to business stakeholders, what are three appropriate topics to include?
(Choose three.)
- A. differences between cloud provider portfolios
- B. newest developments in AI methods
- C. benefits of cognitive over business analytics
- D. realistic impact on the business measures
- E. alternative methods to address the business problem
- F. methods that failed
Answer: C,D,E
NEW QUESTION 34
In which example would recall be preferred over precision?
- A. identify suitable candidates for a job
- B. recall is always preferred
- C. book recommendation
- D. detection of malignant tumors
Answer: D
NEW QUESTION 35
Which is the most important thing to ensure while collecting data?
- A. samples collected adequately cover the space of all possible scenarios
- B. samples collected are all strongly correlated with each other
- C. samples collected focus only on the most common cases
- D. samples collected are skewed with each other
Answer: D
NEW QUESTION 36
Which IBM Watson Machine Learning deployment method offers the ultimate flexibility in deploying a machine learning model?
- A. Watson Machine Learning FORTRAN client
- B. Watson Machine Learning REST API
- C. Watson Machine Learning Python client
- D. Watson Studio Project
Answer: B
NEW QUESTION 37
......
C1000-059 dumps - RealExamFree - 100% Passing Guarantee: https://www.realexamfree.com/C1000-059-real-exam-dumps.html
