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NEW QUESTION: 1
You plan to deploy the Text Analytics and Computer Vision services. The Azure Cognitive Services will be deployed to the West US and East Europe Azure regions.
You need to identify the minimum number of service endpoints and API keys required for the planned deployment.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:
Explanation

Box 1: 2
After creating a Cognitive Service resource in the Azure portal, you'll get an endpoint and a key for authenticating your applications. You can access Azure Cognitive Services through two different resources: A multi-service resource, or a single-service one.
Multi-service resource: Access multiple Azure Cognitive Services with a single key and endpoint.
Note: You need a key and endpoint for a Text Analytics resource. Azure Cognitive Services are represented by Azure resources that you subscribe to.
Each request must include your access key and an HTTP endpoint. The endpoint specifies the region you chose during sign up, the service URL, and a resource used on the request Box 2: 2 You need at least one key per region.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account

NEW QUESTION: 2

A. InfoSphere Biginsights
B. PureData for Operational Analytics
C. Lotus Domino
D. FileNet Content Manager
Answer: A

NEW QUESTION: 3
あなたは、様々な数のパラメータを用いて呼ばれることができる方法を作成する必要があります。
あなたは何を使うべきですか？
A. Method overloading
B. Lambda expressions
C. Interface
D. Named parameters
Answer: A
Explanation:
Explanation
Member overloading means creating two or more members on the same type that differ only in the number or type of parameters but have the same name.
Overloading is one of the most important techniques for improving usability, productivity, and readability of reusable libraries. Overloading on the number of parameters makes it possible to provide simpler versions of constructors and methods. Overloading on the parameter type makes it possible to use the same member name for members performing identical operations on a selected set of different types.

NEW QUESTION: 4
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine einzigartige Lösung, die die angegebenen Ziele erreichen kann. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie haben ein Data Warehouse, in dem Verkaufsdaten gespeichert sind. Eine Faktentabelle enthält 100 Millionen Zeilen.
Sie müssen den Speicherbedarf für das Data Warehouse reduzieren.
Sie müssen eine Lösung implementieren, die spaltenbasierten Speicher verwendet und Echtzeitanalysen für die betriebliche Arbeitslast bereitstellt.
Lösung: Sie laden die Daten in eine Heap-Tabelle.
Erfüllt die Lösung das Ziel?
A. Nein
B. Ja
Answer: A
Explanation:
Explanation
It is better to use a clustered index.
Columnstore indexes are the standard for storing and querying large data warehousing fact tables. It uses column-based data storage and query processing to achieve up to 10x query performance gains in your data warehouse over traditional row-oriented storage, and up to 10x data compression over the uncompressed data size.
In SQL Server, rowstore refers to table where the underlying data storage format is a heap, a clustered index, or a memory-optimized table.
References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-overview