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The Databricks-Certified-Professional-Data-Engineer certification training develops your expertise in defining the IT architecture and in designing, building, and maintaining a secure business environment using globally approved information security standards. The course covers industry best practices and prepares you for the Databricks-Certified-Professional-Data-Engineer certification exam held by (Databricks)².

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Databricks-Certified-Professional-Data-Engineer Training Key Features

  • 67 hours of in-depth learning
  • 5 simulation test papers to prepare you for Databricks-Certified-Professional-Data-Engineer certification
  • Offers the requisite 30 CPEs for taking the Databricks-Certified-Professional-Data-Engineer examination
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Skills Covered

  • Security and risk management
  • Asset security, Security architecture and design
  • Cryptography, OSI and TCP/IP models
  • IP addresses
  • Network security
  • Identity and access management
  • Security assessment and testing
  • Software development security

Benefits

A Databricks-Certified-Professional-Data-Engineer certification validates your skills in IT security. Cybersecurity Ventures predicts a total of 3.5 million Cyber Security jobs by 2021. The global Cyber Security market is expected to reach USD $282.3 Billion by 2024, growing at a rate of 11.1-percent annually.

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NEW QUESTION: 1

A. Option B
B. Option E
C. Option D
D. Option A
E. Option G
F. Option F
G. Option C
Answer: B,C,E,F,G

NEW QUESTION: 2
A technician determines that even though the Intelligent Customer Routing (IC-R) Core is function correctly, ICR Core logs are not displayed under Log Viewer of experience Portal Manager.
Which two properties in the icrcore.properties file need to be corrected? (Choose two)
A. ICRSipUserName
B. ICRSipTCPPort
C. VPProductID
D. VPRemoteLogWebService
E. ICRAdminUKI
Answer: C,D

NEW QUESTION: 3
You train a classification model by using a decision tree algorithm.
You create an estimator by running the following Python code. The variable feature_names is a list of all feature names, and class_names is a list of all class names.
from interpret.ext.blackbox import TabularExplainer

You need to explain the predictions made by the model for all classes by determining the importance of all features.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Yes
TabularExplainer calls one of the three SHAP explainers underneath (TreeExplainer, DeepExplainer, or KernelExplainer).
Box 2: Yes
To make your explanations and visualizations more informative, you can choose to pass in feature names and output class names if doing classification.
Box 3: No
TabularExplainer automatically selects the most appropriate one for your use case, but you can call each of its three underlying explainers underneath (TreeExplainer, DeepExplainer, or KernelExplainer) directly.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability-aml

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Pre-requisites

To obtain your Databricks-Certified-Professional-Data-Engineer certification, you must have a minimum of five years of full-time professional work experience in two or more of the 8 domains of the Databricks-Certified-Professional-Data-Engineer – (Databricks)² CBK 2018. A qualified individual with less than five years of experience will receive the (Databricks)² associate title.
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Course Content

Databricks-Certified-Professional-Data-Engineer Course Reviews

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