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Reference: https://www.databricks.com/learn/certification/machine-learning-professional
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Databricks Certified Machine Learning Professional Sample Questions:
A machine learning engineer wants to load the data from the very first version of a Delta table from location path. Which of the following lines of code can be used to accomplish this task?
- A. spark.read.format("delta").option("version", 0).load(path)
- B. spark.read.format("delta").option("versionAsOf", 1).load(path)
- C. spark.read.format("delta").option("version", 1).load(path)
- D. spark.read.format("delta").option("versionAsOf", 0).load(path)
Correct Answer: B 🗳️
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A data scientist wants to track the runs of their random forest model. The data scientist is changing the number of trees and the maximum depth of the trees in the forest across each run.
They write the following code block:
Which Python object type does params need to be an instance of?
- A. dict
- B. PySpark DataFrarne
- C. list
- D. array
Correct Answer: A 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
A Data Scientist is building a product recommendation model that suggests additional items based on a customer's current shopping basket for an online merchant. The model needs to access the real-time basket contents at inference time to avoid recommending items already in the basket. The model will be deployed using Databricks Model Serving. The data scientist now wants to implement real-time feature engineering to incorporate the current basket contents into the model's prediction. Which approach will do this?
- A. Store basket data in a Delta table and configure automatic feature lookup during model serving.
- B. Write basket data to a feature table and publish to the online store for low-latency access.
- C. Implement feature preprocessing in a separate microservice that feeds the model serving endpoint.
- D. Create a custom pyfunc model that processes the basket contents as part of the model's predict() method.
Correct Answer: D 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
A machine learning engineer needs to select a deployment strategy for a new machine learning application. The feature values are not available until the time of delivery, and results are needed exceedingly fast for one record at a time. Which of the following deployment strategies can be used to meet these requirements?
- A. Edge/on-device
- B. None of these strategies will meet the requirements.
- C. Batch
- D. Streaming
- E. Real-time
Correct Answer: E 🗳️
Why are Delta tables often used to store machine learning features?
- A. They reduce model size
- B. They support schema enforcement and time travel
- C. They replace Spark DataFrames
- D. They allow faster GPU training
Correct Answer: B 🗳️
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Viewing questions 1-5 out of 193 questions.
No help, Full refund!
Actual4Exams confidently stands behind all its offerings by giving Unconditional "No help, Full refund" Guarantee. Since the time our operations started we have never seen people report failure in the Databricks Databricks-Machine-Learning-Professional exam after using our products. With this feedback we can assure you of the benefits that you will get from our products and the high probability of clearing the Databricks-Machine-Learning-Professional exam.
We still understand the effort, time, and money you will invest in preparing for your certification exam, which makes failure in the Databricks Databricks-Machine-Learning-Professional exam really painful and disappointing. Although we cannot reduce your pain and disappointment but we can certainly share with you the financial loss.
This means that if due to any reason you are not able to pass the Databricks-Machine-Learning-Professional actual exam even after using our product, we will reimburse the full amount you spent on our products. you just need to mail us your score report along with your account information to address listed below within 7 days after your unqualified certificate came out.
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