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NEW QUESTION: 1
While debugging a backend application for an loT system that supports globally distributed devices a Solutions Architect notices that stale data is occasionally being sent to user devices. Devices often share data, and stale data does not cause issues in most cases However device operations are disrupted when a device reads the stale data after an update The global system has multiple identical application stacks deployed In different AWS Regions If a user device travels out of its home geographic region it will always connect to the geographically closest AWS Region to write or read data The same data is available in all supported AWS Regions using an Amazon DynamoDB global table What change should be made to avoid causing disruptions in device operations'?
A. Update the backend to use strongly consistent reads. Update the devices to always write to and read from their home AWS Region
B. Switch the backend data store to Amazon Aurora MySQL with cross-region replicas Update the backend to always write to the master endpoint
C. Enable strong consistency globally on a DynamoDB global table Update the backend to use strongly consistent reads
D. Select one AWS Region as a master and perform all writes in that AWS Region only Update the backend to use strongly consistent reads
Answer: A
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/V2globaltables_HowItWorks.html
" An application can read and write data to any replica table. If your application only uses eventually consistent reads and only issues reads against one AWS Region, it will work without any modification. However, if your application requires strongly consistent reads, it must perform all of its strongly consistent reads and writes in the same Region. DynamoDB does not support strongly consistent reads across Regions. Therefore, if you write to one Region and read from another Region, the read response might include stale data that doesn't reflect the results of recently completed writes in the other Region. If applications update the same item in different Regions at about the same time, conflicts can arise. To help ensure eventual consistency, DynamoDB global tables use a last writer wins reconciliation between concurrent updates, in which DynamoDB makes a best effort to determine the last writer. With this conflict resolution mechanism, all the replicas will agree on the latest update and converge toward a state in which they all have identical data. "

NEW QUESTION: 2
Which of the following would be considered multifactor authentication?
A. Strong password and fingerprint
B. PIN and security questions
C. Hardware token and smart card
D. Voice recognition and retina scan
Answer: A

NEW QUESTION: 3
You use Microsoft Visual Studio 2010 and Microsoft .NET Framework 4.0 to create a Windows
Communication
Foundation (WCF) Data Services service. You deploy the data service to the following URL: http://
contoso.com/Northwind.svc.
You need to update the City property of the Customer record that has its ID value as 123.
You also need to preserve the current values of the remaining properties. Which HTTP request should you
use?
A. PUT /Northwind.svc/Customers(123) Host: contoso.com Accept: application/json { City: 'Seattle' }
B. MERGE /Northwind.svc/Customers(123) Host: contoso.com Accept: application/json { City: 'Seattle' }
C. MERGE /Northwind.svc/Customers(123) Host: contoso.com
Content-Type: application/json { City: 'Seattle' }
D. PUT /Northwind.svc/Customers(123) Host: contoso.com Content-Type: application/json { City: 'Seattle' }
Answer: C
Explanation:
HTTP Actions
OData supports the following HTTP actions to perform create, read, update, and delete operations on the entity data that the addressed resource represents: HTTP GET - This is the default action when a resource is accessed from a browser. No payload is supplied in the request message,
and a response method with a payload that contains the requested data is returned. HTTP POST - Inserts new entity data into the supplied resource. Data to be inserted is supplied in the payload of the request message.
The payload of the response message contains the data for the newly created entity. This includes any autogenerated key values.
The header also contains the URI that addresses the new entity resource. HTTP DELETE - Deletes the entity data that the specified resource represents. A payload is not present in the request or response messages. HTTP PUT - Replaces existing entity data at the requested resource with new data that is supplied in the payload of the request message. HTTP MERGE - Because of inefficiencies in executing a delete followed by an insert in the data source just to change entity data, OData introduces a new HTTP MERGE action. The payload of the request message contains the properties that must be changed on the addressed entity resource. Because HTTP MERGE is not defined in the HTTP specification, it may require additional processing to route a HTTP MERGE request through non-OData aware servers.
Accessing and Changing Data Using REST Semantics
(http://msdn.microsoft.com/en-us/library/dd728282.aspx)
HTTP header fields
(http://en.wikipedia.org/wiki/List_of_HTTP_header_fields)
Accept Content-Types that are acceptable
Content-Type The mime type of the body of the request (used with POST and PUT requests)
A Guide to Designing and Building RESTful WebServices with WCF 3.5
(http://msdn.microsoft.com/en-us/library/dd203052.aspx)

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