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NEW QUESTION: 1
Hotspot Question
You develop a microservice solution for a company.
The solution uses the Actor design pattern for all services including mappings, GPS, and communication. The mapping and communication systems must persist state on disk. The GPS system must persist state in-memory. All Actors must have a service replica count of three.
You need to implement code for the GPS system.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Example:
The state manager retrieval methods return a reference to an object in local memory. Modifying this object in local memory alone does not cause it to be saved durably. When an object is retrieved from the state manager and modified, it must be reinserted into the state manager to be saved durably.
[StatePersistence(StatePersistence.Persisted)]
class MyActor : Actor, IMyActor
{
public MyActor(ActorService actorService, ActorId actorId)
: base(actorService, actorId)
{
}
public Task SetCountAsync(int value)
{
return this.StateManager.SetStateAsync<int>("MyState", value);
}
}
References:
https://docs.microsoft.com/en-us/azure/service-fabric/service-fabric-reliable-actors-access-save- remove-state

NEW QUESTION: 2
According to the 2007 interagency statement on subprime mortgage lending, what should an institution offering mortgage loans to subprime borrowers provide before submission of an application?
A. Information on local residential real property values
B. Truth in Lending disclosures
C. Payment shock information
D. Initial escrow statements
Answer: C

NEW QUESTION: 3
A Machine Learning Specialist is developing a custom video recommendation model for an application. The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket. The Specialist wants to avoid loading all of this data onto an Amazon SageMaker notebook instance because it would take hours to move and will exceed the attached 5 GB Amazon EBS volume on the notebook instance.
Which approach allows the Specialist to use all the data to train the model?
A. Load a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Launch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to train the full dataset.
B. Use AWS Glue to train a model using a small subset of the data to confirm that the data will be compatible with Amazon SageMaker. Initiate a SageMaker training job using the full dataset from the S3 bucket using Pipe input mode.
C. Load a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Initiate a SageMaker training job using the full dataset from the S3 bucket using Pipe input mode.
D. Launch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to the instance. Train on a small amount of the data to verify the training code and hyperparameters.
Go back to Amazon SageMaker and train using the full dataset
Answer: C