C1000-180 Practice Questions

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NEW QUESTION: 1
What is the use of ERSPAN on N1kv?
A. Send monitored traffic to an IP destination
B. Send monitored traffic to a remote VEM over L2
C. Send monitored traffic to a VLAN
D. Receive monitored traffic on a vEthernet interface
Answer: A

NEW QUESTION: 2
An online shopping website stores large amounts of product data and orders on a multi-tier IBM Storwize storage solution. All data is stored in a mixed pool including nearline, enterprise, and flash storage.
How will East Tier assist this organization with its data performance?
A. Promotion of data directly from nearline to flash storage
B. Placing new data directly on flash storage
C. Promotion of data from enterprise to flash storage
D. Creates image mode volumes on flash and enterprise storage
Answer: D

NEW QUESTION: 3

A. Option B
B. Option C
C. Option A
D. Option D
Answer: C

NEW QUESTION: 4
A company uses Azure SQL Database to store data for an app. The data includes sensitive information.
You need to implement measures that allow only members of the managers group to see sensitive information.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A: Navigate to the following URL:

B: Exclude the managers group.
C: Include the managers group.
D: Run the following Azure PowerShell command:

E: Exclude the administrators group.
A. Option B
B. Option A
C. Option C
D. Option E
E. Option D
Answer: A,E
Explanation:
Explanation/Reference:
Explanation:
Dynamic data masking helps prevent unauthorized access to sensitive data by enabling customers to designate how much of the sensitive data to reveal with minimal impact on the application layer.
SQL users excluded from masking - A set of SQL users or AAD identities that get unmasked data in the SQL query results.
Note: The New-AzureRmSqlDatabaseDataMaskingRule cmdlet creates a data masking rule for an Azure SQL database.
References:
https://docs.microsoft.com/en-us/powershell/module/azurerm.sql/new-
azurermsqldatabasedatamaskingrule?view=azurermps-6.13.0
Testlet 1
Case Study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
LabelMaker app
Coho Winery produces bottles, and distributes a variety of wines globally. You are developer implementing highly scalable and resilient applications to support online order processing by using Azure solutions.
Coho Winery has a LabelMaker application that prints labels for wine bottles. The application sends data to several printers. The application consists of five modules that run independently on virtual machines (VMs). Coho Winery plans to move the application to Azure and continue to support label creation.
External partners send data to the LabelMaker application to include artwork and text for custom label designs.
Data
You identify the following requirements for data management and manipulation:
Order data is stored as nonrelational JSON and must be queried using Structured Query Language

(SQL).
Changes to the Order data must reflect immediately across all partitions. All reads to the Order data

must fetch the most recent writes.
You have the following security requirements:
Users of Coho Winery applications must be able to provide access to documents, resources, and

applications to external partners.
External partners must use their own credentials and authenticate with their organization's identity

management solution.
External partner logins must be audited monthly for application use by a user account administrator to

maintain company compliance.
Storage of e-commerce application settings must be maintained in Azure Key Vault.

E-commerce application sign-ins must be secured by using Azure App Service authentication and

Azure Active Directory (AAD).
Conditional access policies must be applied at the application level to protect company content

The LabelMaker applications must be secured by using an AAD account that has full access to all

namespaces of the Azure Kubernetes Service (AKS) cluster.
LabelMaker app
Azure Monitor Container Health must be used to monitor the performance of workloads that are deployed to Kubernetes environments and hosted on Azure Kubernetes Service (AKS).
You must use Azure Container Registry to publish images that support the AKS deployment.

Calls to the Printer API App fail periodically due to printer communication timeouts.
Printer communications timeouts occur after 10 seconds. The label printer must only receive up to 5 attempts within one minute.
The order workflow fails to run upon initial deployment to Azure.
Order json.
Relevant portions of the app files are shown below. Line numbers are included for reference only.
This JSON file contains a representation of the data for an order that includes a single item.
Order .json