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NEW QUESTION: 1
Citrix Virtual Apps and Desktopsサービスを使用する場合、Citrix Cloudまたはお客様が管理するリソースの場所でオプションでホストできるコンポーネントはどれですか?
A. Citrix License Server
B. Virtual Delivery Agent (VDA) machines
C. Citrix Gateway
D. Site database
Answer: C

NEW QUESTION: 2
In relation to Amazon SQS, how can you ensure that messages are delivered in order?
A. Give each message a unique id.
B. Send them with a timestamp
C. Increase the size of your queue
D. AWS cannot guarantee that you will receive messages in the exact order you sent them
Answer: D
Explanation:
Amazon SQS makes a best effort to preserve order in messages, but due to the distributed nature of the
queue, AWS cannot guarantee that you will receive messages in the exact order you sent them. You
typically place sequencing information or timestamps in your messages so that you can reorder them
upon receipt.
Reference: https://aws.amazon.com/items/1343?externalID=1343

NEW QUESTION: 3
You use Microsoft Visual Studio 2010 and Microsoft .NET Framework 4.0 to create an application.
The application connects to a Microsoft SQL Server database. You create a DataSet object in the
application.
You add two DataTable objects named App_Products and App_Categories to the DataSet.
You add the following code segment to populate the DataSet object.
(Line numbers are included for reference only.)
01 public void Fill(SqlConnection cnx, DataSet ds)
02 {
03 var cmd = cnx.CreateCommand();
04 cmd.CommandText = "SELECT * FROM dbo.Products; " + "SELECT * FROM
dbo.Categories";
05 var adapter = new SqlDataAdapter(cmd);
06 ...
07 }
You need to ensure that App_Products and App_Categories are populated from the dbo.Products and
dbo.Categories database tables.
Which code segment should you insert at line 06?
A. adapter.Fill(ds.Tables["App_Products"]); adapter.Fill(ds.Tables["App_Categories"]);
B. adapter.Fill(ds, "Products"); adapter.Fill(ds, "Categories");
C. adapter.TableMappings.Add("Table", "App_Products"); adapter.TableMappings.Add("Table1", "App_Categories"); adapter.Fill(ds);
D. adapter.TableMappings.Add("Products", "App_Products"); adapter.TableMappings.Add("Categories", "App_Categories"); adapter.Fill(ds);
Answer: D
Explanation:
Table Mapping in ADO.NET
(http://msdn.microsoft.com/en-us/library/ms810286.aspx)

NEW QUESTION: 4
A bank is re-architecting its mainframe-based credit card approval processing application to a cloud-native application on the AWS cloud.
The new application will receive up to 1,000 requests per second at peak load. There are multiple steps to each transaction, and each step must receive the result of the previous step. The entire request must return an authorization response within less than 2 seconds with zero data loss. Every request must receive a response. The solution must be Payment Card Industry Data Security Standard (PCI DSS)-compliant.
Which option will meet all of the bank's objectives with the LEAST complexity and LOWEST cost while also meeting compliance requirements?
A. Create an Amazon API Gateway to process inbound requests using a single AWS Lambda task that performs multiple steps and returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.
B. Create an Amazon API Gateway to process inbound requests using a series of AWS Lambda processes, each with an Amazon SQS input queue. As each step completes, it writes its result to the next step's queue. The final step returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.
C. Create an Application Load Balancer with an Amazon ECS cluster on Amazon EC2 Dedicated instances in a target group to process incoming requests. Use Auto Scaling to scale the cluster out/in based on average CPU utilization. Deploy a web service that processes all of the approval steps and returns a JSON object with the approval status.
D. Deploy the application on Amazon EC2 on Dedicated Instances. Use an Elastic Load Balancer in front of a farm of application servers in an Auto Scaling group to handle incoming requests. Scale out/in based on a custom Amazon CloudWatch metric for the number of inbound requests per second after measuring the capacity of a single instance.
Answer: C