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NEW QUESTION: 1
Drag and drop the code onto the snippet to update a SSID in Meraki using the Dashboard API. Not all options are used.

Answer:
Explanation:

NEW QUESTION: 2
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 stellen einen Azure Kubernetes Service (AKS) -Cluster mit dem Namen AKS1 bereit.
Sie müssen eine YAML-Datei auf AKS1 bereitstellen.
Lösung: In Azure Cloud Shell führen Sie az aks aus.
Erfüllt dies das Ziel?
A. Nein
B. Ja
Answer: B
Explanation:
Installing Azure CLI doesn't mean that Azure Kubernates client is installed. So before running kubectl client command, you have install kubectl, the Kubernetes command-line client.
First need to run az aks install-cli to install Kubernetes CLI, which is kubectl
Reference:
https://docs.microsoft.com/en-us/cli/azure/aks?view=azure-cli-latest

NEW QUESTION: 3
N NO: 127 DRAG DROP
You need to build a knowledge base in Data Quality Services (DQS).
You need to ensure that the data is validated by using a third-party data source before DQS processes the data.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Building a DQS knowledge base involves the following processes and components:
Step 1: Perform Knowledge Discovery
A computer-assisted process that builds knowledge into a knowledge base by processing a data sample Step 2: Perform Domain Management An interactive process that enables the data steward to verify and modify the knowledge that is in knowledge base domains, each of which is associated with a data field. This can include setting field-wide properties, creating rules, changing specific values, using reference data services, or setting up term-based or cross-field relationships.
Step 3: Configure reference Data Services
A process of domain management that enables you to validate your data against data maintained and guaranteed by a reference data provider.
Step 4: Configure a Matching Policy
A policy that defines how DQS processes records to identify potential duplicates and non-matches, built into the knowledge base in a computer-assisted and interactive process.
References: https://docs.microsoft.com/en-us/sql/data-quality-services/dqs-knowledge-bases-and-domains