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The Pegasystems PEGACPDS88V1 exam covers a wide range of topics such as data exploration, data preparation, data modeling, and model evaluation. Candidates are expected to have a thorough understanding of statistical concepts, machine learning algorithms, and data visualization techniques. They should also be familiar with Pega's data science tools and platforms such as Pega Data Scientist Studio and Pega Decisioning.
To prepare for the PEGACPDS88V1 certification exam, candidates can enroll in training courses offered by Pega. PEGACPDS88V1 courses cover a range of topics related to data science, including data modeling, data analysis, and predictive analytics. Candidates can also access online resources, including study guides, practice exams, and forums, to help them prepare for the exam.
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Pegasystems Certified Pega Data Scientist 88V1 Sample Questions (Q107-Q112):
NEW QUESTION # 107
In a decision strategy, to remove propositions based on the current month, you use a
- A. Filter component
- B. Calendar strategy property
- C. Data Strategy property
- D. Calendar component
Answer: D
Explanation:
Explanation
The calendar component is used to remove propositions based on the current month, day of week, or time of day. It can also be used to apply seasonal adjustments to propositions. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/using-calendar-
NEW QUESTION # 108
As a data scientist, you are tasked with configuring two predictions that are driven by an adaptive model: one for an inbound channel and one for an outbound channel. To which setting do you need to pay extra attention?
- A. Predictor fields
- B. Control group
- C. Response timeout
- D. Adaptive model
Answer: D
Explanation:
Explanation
As a data scientist, if you are tasked with configuring two predictions that are driven by an adaptive model, you need to pay extra attention to adaptive model settings.
NEW QUESTION # 109
The standardized model operations process (MLOps) lets you replace a low-performing predictive model that drives a prediction with a superior one.
When you place the new model in shadow mode in the production environment, the current model___________
- A. drives the prediction
- B. uses the outcomes of the new model as predictors
- C. no longer drives the prediction
- D. is automatically replaced
Answer: A
Explanation:
Explanation
When you place the new model in shadow mode in the production environment, the current model still drives the prediction, but the new model runs in parallel and collects performance data for comparison. References:
https://academy.pega.com/module/predictive-analytics/topic/mlops
NEW QUESTION # 110
A strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group. He would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy. What is the minimum number of Proposition Data components he needs to use in his strategy?
- A. one
- B. two
- C. three
- D. twelve
Answer: C
Explanation:
Explanation
If a strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group and would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy, the minimum number of Proposition Data components he needs to use in his strategy is three.
NEW QUESTION # 111
To create channel-specific Adaptive Model instances, you____________
- A. create channel specific Adaptive Model definition
- B. set channel information in the strategy
- C. set the channel option in the Adaptive Model component
- D. do nothing; Adaptive Model instances are always channel specific
Answer: C
NEW QUESTION # 112
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