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  • C1000-059: IBM AI Enterprise Workflow V1 Data Science Specialist

IBM C1000-059 Exam Questions

Status: RETIRED
Exam Name: IBM AI Enterprise Workflow V1 Data Science Specialist
Exam Code: C1000-059
Related Certification(s):
  • IBM Certified Specialist Certifications
  • IBM AI Enterprise Workflow V1 Certifications
Certification Provider: IBM
Actual Exam Duration: 90 Minutes
Number of C1000-059 practice questions in our database: 62 (updated: 05-12-2024)
Expected C1000-059 Exam Topics, as suggested by IBM :
  • Topic 1: Demonstrate knowledge of scenarios for application of machine learning/ Explain the fundamental terms and concepts of design thinking
  • Topic 2: Show knowledge of how to communicate technical results to business stakeholders/ Explain and calculate different types of matrix operations
  • Topic 3: Demonstrate mastery preparing and cleaning unstructured text data/ Explain the different types of fundamental Data Science
  • Topic 4: Demonstrate basic understanding of natural language processing/ Explain the general properties of common probability distributions
  • Topic 5: Translate business opportunities into a machine learning scenario/ Show knowledge of data exploration techniques and data anomaly detection
  • Topic 6: Describe the differences between traditional programming and machine learning/ Use data summarization and visualization techniques to find relevant insight
  • Topic 7: Demonstrate knowledge on open source technologies for deployment of AI solutions/ Demonstrate expertise cleaning data and addressing data anomalies
  • Topic 8: Demonstrate foundational knowledge of using python as a tool for building AI solutions/ Show knowledge of feature engineering and dimensionality reduction techniques
  • Topic 9: Describe the key considerations when selecting a platform for AI model deployment/ Demonstrate successful application of model validation and selection methods
  • Topic 10: Identify IBM technology capabilities for building, deploying, and managing AI models/ Identify use cases where artificial intelligence solutions can address business opportunities
  • Topic 11: Show knowledge of the benefits of cloud computing for building and deploying AI models/ Demonstrate knowledge of requirements for model monitoring, management and maintenance
Disscuss IBM C1000-059 Topics, Questions or Ask Anything Related
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Pa

4 days ago
I passed the IBM AI Enterprise Workflow V1 Data Science Specialist exam, thanks to Pass4Success practice questions. One question that puzzled me was about the deployment of AI models, specifically the steps involved in containerizing a machine learning model using Docker. I wasn't sure of the exact steps, but I still passed!
upvoted 0 times
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Laurel

17 days ago
Couldn't have cleared the IBM AI cert without Pass4Success. Their questions were right on target!
upvoted 0 times
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Lenna

20 days ago
Just passed the IBM AI Enterprise Workflow V1 Data Science Specialist exam, and Pass4Success practice questions were a big help. There was a question on the application of data science techniques, asking about the use of clustering algorithms in customer segmentation. I had to think on my feet, but I got through it.
upvoted 0 times
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Vince

1 months ago
I am thrilled to have passed the IBM AI Enterprise Workflow V1 Data Science Specialist exam. The Pass4Success practice questions were invaluable. One question that caught me off guard was about evaluating AI models, specifically the differences between precision, recall, and F1 score. I wasn't entirely sure, but I managed to pass!
upvoted 0 times
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Providencia

2 months ago
Whew, that IBM exam was tough! Grateful for Pass4Success helping me pass in record time.
upvoted 0 times
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Margurite

2 months ago
Successfully passed the IBM AI Enterprise Workflow V1 Data Science Specialist exam, with a lot of help from Pass4Success practice questions. There was a question on data understanding techniques that asked about the importance of exploratory data analysis (EDA) in identifying data patterns. I had to guess a bit, but it worked out.
upvoted 0 times
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Xochitl

2 months ago
I passed the IBM AI Enterprise Workflow V1 Data Science Specialist exam, and the Pass4Success practice questions were a lifesaver. One challenging question was about data preparation techniques, specifically how to handle missing data using imputation methods. I wasn't completely confident in my answer, but I still passed!
upvoted 0 times
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Virgilio

2 months ago
Aced the IBM Data Science Specialist cert! Pass4Success materials were a lifesaver for quick prep.
upvoted 0 times
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Chantell

3 months ago
Just cleared the IBM AI Enterprise Workflow V1 Data Science Specialist exam, thanks to Pass4Success practice questions. There was a tricky question on the technology stack for data science and AI, asking about the differences between TensorFlow and PyTorch. I had to think hard about their respective advantages in model deployment.
upvoted 0 times
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Lorenza

3 months ago
Overall, the exam was comprehensive but fair. Focus on practical applications of ML concepts. Pass4Success's exam questions were spot-on and really helped me pass. Highly recommended!
upvoted 0 times
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Marta

3 months ago
I recently passed the IBM AI Enterprise Workflow V1 Data Science Specialist exam, and I have to say, the Pass4Success practice questions were incredibly helpful. One question that stumped me was about the application of linear algebra in data science. Specifically, it asked how eigenvalues and eigenvectors are used in Principal Component Analysis (PCA). I wasn't entirely sure of the answer, but I managed to pass the exam!
upvoted 0 times
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Queenie

3 months ago
Just passed the IBM AI Enterprise Workflow exam! Thanks Pass4Success for the spot-on practice questions.
upvoted 0 times
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Harris

4 months ago
Passing the IBM AI Enterprise Workflow V1 Data Science Specialist exam was a great achievement for me, and I owe it to the helpful practice questions from Pass4Success. The exam covered a range of topics, including machine learning applications and matrix operations. One question that I recall was about demonstrating knowledge of scenarios for application of machine learning, which required practical understanding of real-world use cases.
upvoted 0 times
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Percy

5 months ago
My exam experience for the IBM AI Enterprise Workflow V1 Data Science Specialist exam was successful, thanks to using Pass4Success practice questions. I found the topics of design thinking and matrix operations to be particularly important for the exam. One question that stood out to me was about explaining fundamental terms and concepts of design thinking, which required a deep understanding of the subject.
upvoted 0 times
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Kirk

6 months ago
Just passed the IBM AI Enterprise Workflow V1 exam! Watch out for questions on data preprocessing techniques, especially feature scaling. Understand when to use different methods like standardization vs normalization. Big thanks to Pass4Success for their spot-on practice questions that helped me prepare efficiently!
upvoted 0 times
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Sherell

6 months ago
I recently passed the IBM AI Enterprise Workflow V1 Data Science Specialist exam with the help of Pass4Success practice questions. The exam covered topics such as scenarios for application of machine learning and communicating technical results to business stakeholders. One question that I remember from the exam was related to calculating different types of matrix operations, which I found a bit challenging but managed to answer correctly.
upvoted 0 times
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Free IBM C1000-059 Exam Actual Questions

Note: Premium Questions for C1000-059 were last updated On 05-12-2024 (see below)

Question #1

In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?

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Correct Answer: C

Question #2

A data analyst creates a term-document matrix for the following sentence: I saw a cat, a dog and another cat.

Assuming they used a binary vectorizer, what is the resulting weight for the word cat?

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Correct Answer: B

Question #3

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.)

Reveal Solution Hide Solution
Correct Answer: B, D

Question #4

Which is an example of a nominal scale data?

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Correct Answer: C

Question #5

What is the primary role of a data steward?

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Correct Answer: D

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