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NEW QUESTION: 1
You migrated from a FAS3250 system to a new A200 system. After the migration, you notice that data compaction fails to be enabled on the migrated volumes.
In this scenario, which statement is correct?
A. The volumes are thick-provisioned.
B. You need a license to have full efficiency on AFF systems.
C. Data compaction is not supported on the A200 system.
D. You need to schedule background deduplication on all volumes.
Answer: B
NEW QUESTION: 2
次の表に示すeDiscoveryケースがあります。
次の各ステートメントについて、「はい」を選択してください。それ以外の場合は、[いいえ]を選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。
Answer:
Explanation:
NEW QUESTION: 3
You configure OAuth2 authorization in API Management as shown in the exhibit.
Use the drop-domain to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Web applications
The Authorization Code Grant Type is used by both web apps and native apps to get an access token after a user authorizes an app.
Note: The Authorization Code grant type is used by confidential and public clients to exchange an authorization code for an access token.
After the user returns to the client via the redirect URL, the application will get the authorization code from the URL and use it to request an access token.
Answers:
Not Headless device authentication:
A headless system is a computer that operates without a monitor, graphical user interface (GUI) or peripheral devices, such as keyboard and mouse.
Headless computers are usually embedded systems in various devices or servers in multi-server data center environments. Industrial machines, automobiles, medical equipment, cameras, household appliances, airplanes, vending machines and toys are among the myriad possible hosts of embedded systems.
Box 2: Client Credentials
How to include additional client data
In case you need to store additional details about a client that don't fit into the standard parameter set the custom data parameter comes to help:
POST /c2id/clients HTTP/1.1
Host: demo.c2id.com
Content-Type: application/json
Authorization: Bearer ztucZS1ZyFKgh0tUEruUtiSTXhnexmd6
{
"redirect_uris" : [ "https://myapp.example.com/callback" ],
"data" : { "reg_type" : "3rd-party",
"approved" : true,
"author_id" : 792440 }
}
The data parameter permits arbitrary content packaged in a JSON object. To set it you will need the master registration token or a one-time access token with a client-reg:data scope.
Reference:
https://developer.okta.com/blog/2018/04/10/oauth-authorization-code-grant-type
https://connect2id.com/products/server/docs/guides/client-registration
NEW QUESTION: 4
Your company deploys an Azure App Service Web App.
During testing the application fails under load. The application cannot handle more than 100 concurrent user sessions. You enable the Always On feature. You also configure auto-scaling to increase counts from two to
10 based on HTTP queue length.
You need to improve the performance of the application.
Which solution should you use for each application scenario? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Content Delivery Network
A content delivery network (CDN) is a distributed network of servers that can efficiently deliver web content to users. CDNs store cached content on edge servers in point-of-presence (POP) locations that are close to end users, to minimize latency.
Azure Content Delivery Network (CDN) offers developers a global solution for rapidly delivering high-bandwidth content to users by caching their content at strategically placed physical nodes across the world. Azure CDN can also accelerate dynamic content, which cannot be cached, by leveraging various network optimizations using CDN POPs. For example, route optimization to bypass Border Gateway Protocol (BGP).
Box 2: Azure Redis Cache
Azure Cache for Redis is based on the popular software Redis. It is typically used as a cache to improve the performance and scalability of systems that rely heavily on backend data-stores. Performance is improved by temporarily copying frequently accessed data to fast storage located close to the application. With Azure Cache for Redis, this fast storage is located in-memory with Azure Cache for Redis instead of being loaded from disk by a database.
References:
https://docs.microsoft.com/en-us/azure/azure-cache-for-redis/cache-overview