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NEW QUESTION: 1
Which of the following Global Protect features requires a separate license?
A. Manual Gateway Selection
B. Use of dynamic selection between multiple Gateways
C. Allowing users to connect
D. Use of a Portal to allow users to connect
Answer: B
NEW QUESTION: 2
A. Option B
B. Option D
C. Option A
D. Option C
Answer: D
NEW QUESTION: 3
The BEST methods for a web developer to prevent the website application code from being vulnerable to
cross-site request forgery (XSRF) are to ____________. (Choose two.)
A. permit redirection to Internet-facing web URLs.
B. use a web proxy to pass website requests between the user and the application.
C. restrict and sanitize use of special characters in input and URLs.
D. validate and filter input on the server side and client side.
E. ensure all HTML tags are enclosed in angle brackets, e.g., "<" and ">".
Answer: C,D
Explanation:
Section: Application, Data and Host Security
Explanation/Reference:
Explanation:
XSRF or cross-site request forgery applies to web applications and is an attack that exploits the web
application's trust of a user who is known or is supposed to have been authenticated. This is often
accomplished without the user's knowledge.
XSRF can be prevented by adding a randomization string (called a nonce) to each URL request and
session establishment and checking the client HTTP request header referrer for spoofing.
NEW QUESTION: 4
You have an Azure Stream Analytics job that is a Stream Analytics project solution in Microsoft Visual Studio. The job accepts data generated by IoT devices in the JSON format.
You need to modify the job to accept data generated by the IoT devices in the Protobuf format.
Which three actions should you perform from Visual Studio 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
Step 1: Add an Azure Stream Analytics Custom Deserializer Project (.NET) project to the solution.
Create a custom deserializer
1. Open Visual Studio and select File > New > Project. Search for Stream Analytics and select Azure Stream Analytics Custom Deserializer Project (.NET). Give the project a name, like Protobuf Deserializer.
2. In Solution Explorer, right-click your Protobuf Deserializer project and select Manage NuGet Packages from the menu. Then install the Microsoft.Azure.StreamAnalytics and Google.Protobuf NuGet packages.
3. Add the MessageBodyProto class and the MessageBodyDeserializer class to your project.
4. Build the Protobuf Deserializer project.
Step 2: Add .NET deserializer code for Protobuf to the custom deserializer project Azure Stream Analytics has built-in support for three data formats: JSON, CSV, and Avro. With custom
.NET deserializers, you can read data from other formats such as Protocol Buffer, Bond and other user defined formats for both cloud and edge jobs.
Step 3: Add an Azure Stream Analytics Application project to the solution Add an Azure Stream Analytics project
1. In Solution Explorer, right-click the Protobuf Deserializer solution and select Add > New Project. Under Azure Stream Analytics > Stream Analytics, choose Azure Stream Analytics Application. Name it ProtobufCloudDeserializer and select OK.
2. Right-click References under the ProtobufCloudDeserializer Azure Stream Analytics project. Under Projects, add Protobuf Deserializer. It should be automatically populated for you.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/custom-deserializer