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NEW QUESTION: 1

A. Option A
B. Option D
C. Option C
D. Option B
Answer: C

NEW QUESTION: 2
ON NO: 207
What is preserved by enabling graceful Routing Engine switchover (GRES)?
A. link-state protocol adjacencies
B. BGP peering relationships
C. control-plane state
D. interface and kernel information
Answer: D

NEW QUESTION: 3
The application developer needs to automate the rule project build process. The rule projects are stored in a Source Code Control system. What should the application developer do to automate the build process?
A. Copy the Rule Designer API library files onto the build machine, write a Java class to call a remotely running Rule Designer to generate the ruleset using the Rule Designer API.
B. Install Rule Designer on the build machine and write a Java class to call the rule engine API.
C. Use the Ant zip task to zip the rule project contents into a ruleset.
D. Install Rule Designer on the build machine and use the Rule Designer build automation tool to generate the ruleset.
Answer: D

NEW QUESTION: 4
A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensemble model using Amazon SageMaker with Area Under the ROC Curve (AUC) as the objective metric.
This workflow will eventually be deployed in a pipeline that retrains and tunes hyperparameters each night to model click-through on data that goes stale every 24 hours.
With the goal of decreasing the amount of time it takes to train these models, and ultimately to decrease costs, the Specialist wants to reconfigure the input hyperparameter range(s).
Which visualization will accomplish this?
A. A histogram showing whether the most important input feature is Gaussian.
B. A scatter plot showing the performance of the objective metric over each training iteration.
C. A scatter plot with points colored by target variable that uses t-Distributed Stochastic Neighbor Embedding (t-SNE) to visualize the large number of input variables in an easier-to-read dimension.
D. A scatter plot showing the correlation between maximum tree depth and the objective metric.
Answer: C
Explanation:
https://medium.com/all-things-ai/in-depth-parameter-tuning-for-random-forest-d67bb7e920d