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NEW QUESTION: 1
You are designing a multi-platform web application for AWS The application will run on EC2 instances
and will be accessed from PCs. tablets and smart phones Supported accessing platforms are Windows,
MacOS, IOS and Android Separate sticky session and SSL certificate setups are required for different
platform types which of the following describes the most cost effective and performance efficient
architecture setup?
A. Setup a hybrid architecture to handle session state and SSL certificates on-prem and separate EC2
Instance groups running web applications for different platform types running in a VPC.
B. Assign multiple ELBS to an EC2 instance or group of EC2 instances running the common components
of the web application, one ELB for each platform type Session stickiness and SSL termination are done
at the ELBs.
C. Set up two ELBs The first ELB handles SSL certificates for all platforms and the second ELB handles
session stickiness for all platforms for each ELB run separate EC2 instance groups to handle the web
application for each platform.
D. Set up one ELB for all platforms to distribute load among multiple instance under it Each EC2 instance
implements ail functionality for a particular platform.
Answer: B
NEW QUESTION: 2
需要に基づいて、IaaSプロバイダーは顧客向けのセキュリティアプリケーションを展開したいと考えています。
IaaSプロバイダーがこれをターゲットシステムに適用するための最良の手法は次のうちどれですか。
A. スクリプト
B. カスタムプログラミング
C. ベンダーアプリケーション
D. オーケストレーション
Answer: D
NEW QUESTION: 3
All of the following statements re true regarding contract negotiation EXCEPT:
A. For complex procurement situations, contract negotiations can be an independent process with inputs and outputs of its own
B. Contract negotiations clarifies he structure and requirements of the contract
C. The project manager should be the lead negotiator on the contract
D. Contract negotiation is a tool/technique of the select sellers process
Answer: C
NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are using Azure Machine Learning Studio to perform feature engineering on a dataset.
You need to normalize values to produce a feature column grouped into bins.
Solution: Apply an Entropy Minimum Description Length (MDL) binning mode.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation
Entropy MDL binning mode: This method requires that you select the column you want to predict and the column or columns that you want to group into bins. It then makes a pass over the data and attempts to determine the number of bins that minimizes the entropy. In other words, it chooses a number of bins that allows the data column to best predict the target column. It then returns the bin number associated with each row of your data in a column named <colname>quantized.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins