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NEW QUESTION: 1
The SASDATA.BANKS data set has five observations when the following SAS program is submitted:
libname sasdata 'SAS-data-library';
data allobs;
set sasdata.banks;
capital=0;
do year = 2000 to 2020 by 5;
capital + ((capital+2000) * rate);
output;
end;
run;
How many observations will the ALLOBS data set contain?
A. 0
B. 1
C. 2
D. 3
Answer: A

NEW QUESTION: 2
An AWS workload in a VPC is running a legacy on an Amazon EC2 instance. Data is stored on a
200GB Amazon EBS (gp2) volume. At peak load times, log show excessive wait time.
What solution should be implement to improve performance using persistent storage?
A. Migrate the data on the Amazon EBS volume to an SSD-backed volume
B. Change the EC2 instance type to one with burstable performance
C. Change the EC2 instance type to one with EC2 instance store volumes
D. Migrate the data on the EBS volume to provisioned IOPS SSD (io1).
Answer: D

NEW QUESTION: 3
グリッド・ネーミング・サービス（GNS）を使用してクラスタ・ノードで起動した場合、Oracle Clusterware 12cはDHCPからどの2種類のIPアドレスを取得しますか。 （2つを選択してください）
A. グリッドネームサービス（GNS）のVIP
B. ASMリスナーのVIP
C. IPMI（Intelligent Platform Management Interface）IPアドレス
D. 単一のクライアントアクセス名（SCAN）仮想IPアドレス（VIP）
E. HAIP（High Available IP）アドレスがクラスタインターコネクトに使用されます。
Answer: C,E

NEW QUESTION: 4
Match the Azure service to the correct definition.
Instructions: To answer, drag the appropriate Azure service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1:
Azure Functions provides the platform for serverless code.
Azure Functions is a serverless compute service that lets you run event-triggered code without having to explicitly provision or manage infrastructure.
Box 2:
Azure Databricks is a big analysis service for machine learning.
Azure Databricks is an Apache Spark-based analytics platform. The platform consists of several components including 'MLib'. Mlib is a Machine Learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives.
Box 3:
Azure Application Insights detects and diagnoses anomalies in web apps.
Application Insights, a feature of Azure Monitor, is an extensible Application Performance Management (APM) service for developers and DevOps professionals. Use it to monitor your live applications. It will automatically detect performance anomalies, and includes powerful analytics tools to help you diagnose issues and to understand what users actually do with your app.
Box 4:
Azure App Service hosts web apps.
Azure App Service is an HTTP-based service for hosting web applications, REST APIs, and mobile back ends.
You can develop in your favorite language, be it .NET, .NET Core, Java, Ruby, Node.js, PHP, or Python.
Applications run and scale with ease on both Windows and Linux-based environments.
References:
https://docs.microsoft.com/en-us/azure/azure-functions/
https://docs.microsoft.com/en-us/azure/azure-databricks/what-is-azure-databricks#apache-spark-based-analytics-
https://docs.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview
https://docs.microsoft.com/en-us/azure/app-service/overview