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NEW QUESTION: 1
あなたは注文処理システムを実装しています。 POSアプリケーションは、Azure Service Busキューのトピックに注文を発行します。トピックのlabelプロパティには、次のデータが含まれています。
購読には、以下の要件があります。
フィルタを評価しながら、フィルタを実装してスループットを最大化する必要があります。
どのフィルタタイプを実装する必要がありますか？回答するには、適切なフィルタタイプを正しい購読にドラッグします。各フィルタタイプは、1回、複数回、またはまったく使用しないことができます。コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要があります。
注：それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation
FutureOrders: SQLFilter
HighPriortyOrders: CorrelationFilter
CorrelationID only
InternationalOrders: SQLFilter
Country NOT USA requires an SQL Filter
HighQuantityOrders: SQLFilter
Need to use relational operators so an SQL Filter is needed.
AllOrders: No Filter
SQL Filter: SQL Filters - A SqlFilter holds a SQL-like conditional expression that is evaluated in the broker
against the arriving messages' user-defined properties and system properties. All system properties must be
prefixed with sys. in the conditional expression. The SQL-language subset for filter conditions tests for the
existence of properties (EXISTS), as well as for null-values (IS NULL), logical NOT/AND/OR, relational
operators, simple numeric arithmetic, and simple text pattern matching with LIKE.
Correlation Filters - A CorrelationFilter holds a set of conditions that are matched against one or more of an
arriving message's user and system properties. A common use is to match against the CorrelationId property,
but the application can also choose to match against ContentType, Label, MessageId, ReplyTo,
ReplyToSessionId, SessionId, To, and any user-defined properties. A match exists when an arriving message's
value for a property is equal to the value specified in the correlation filter. For string expressions, the
comparison is case-sensitive. When specifying multiple match properties, the filter combines them as a logical
AND condition, meaning for the filter to match, all conditions must match.
Boolean filters - The TrueFilter and FalseFilter either cause all arriving messages (true) or none of the arriving
messages (false) to be selected for the subscription.
References:
https://docs.microsoft.com/en-us/azure/service-bus-messaging/topic-filters
NEW QUESTION: 2
Which configuration tasks must be run in a stand-alone environment to enable the property extension database?
A. wp-la-install-ear andwp-configure-la-complete
B. wp-la-install-ear and wp-prep-vnun-db-secured-environment
C. wp-la-install-ear only
D. wp-la-install-ear and wp-node-prep-vmm-db-secured-environment
Answer: C
Explanation:
Reference:http://blog.davalen.com/tag/ibm-websphere-portal/
NEW QUESTION: 3
DRAG DROP
You manage a bot in a serverless architecture.
The bot provides custom responses to questions based upon the identity of the user.
The bot must meet the following requirements:
*Identify the user by face.
*Provide text-to-speech reading of questions to the user.
*Analyze the text of the user's responses for patterns.
What should you recommend? To answer, drag the appropriate solution to the correct scenario.
Each solution may be used once, more than once, or not at all. You may need to drag the split bar between panes to scroll or view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Note: With Azure, built-in intelligence is within the reach of all app developers. Enable your serverless code or logic to use Machine Learning and Cognitive Services.
Box 1, Identify users by face: Azure Cognitive Services
Microsoft Face API, a cloud-based service that provides the most advanced face algorithms.
Face API has two main functions: face detection with attributes and face recognition.
Box 2, Provide text-to-speech services: Azure Cognitive Services
Infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication.
Example:
Speech: Convert spoken audio into text, use voice for verification, or add speaker recognition to your app.
Box 3, Read questions to users: Azure Functions
Azure Functions is a serverless solution.
NEW QUESTION: 4
Implementing baselines on systems would take an enormous amount of time and resources if the staff had to apply them to each server, and over time, it would be almost impossible to keep all the systems in sync on an ongoing basis.
Which of the following is NOT a package that can be used for implementing and maintaining baselines across an enterprise?
A. Chef
B. GitHub
C. Puppet
D. SCCM
Answer: B
Explanation:
GitHub is a software development platform that serves as a code repository and versioning system. It is solely used for software development and would not be appropriate for applying baselines to systems.
Puppet is an open-source configuration management tool that runs on many platforms and can be used to apply and maintain baselines. The Software Center Configuration Manager (SCCM) was developed by Microsoft for managing systems across large groups of servers. Chef is also a system for maintaining large groups of systems throughout an enterprise.