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NEW QUESTION: 1
An auction website enables users to bid on collectible items. The auction rules require that each bid is processed only once and in the order it was received. The current implementation is based on a fleet of Amazon EC2 web servers that write bid records into Amazon Kinesis Data Streams. A single t2.large instance has a cron job that runs the bid processor, which reads incoming bids from Kinesis Data Streams and processes each bid. The auction site is growing in popularity, but users are complaining that some bids are not registering.
Troubleshooting indicates that the bid processor is too slow during peak demand hours, sometimes crashes while processing, and occasionally loses track of which records is being processed.
What changes should make the bid processing more reliable?
A. Refactor the web application to use the Amazon Kinesis Producer Library (KPL) when posting bids to Kinesis Data Streams. Refactor the bid processor to flag each record in Kinesis Data Streams as being unread, processing, and processed. At the start of each bid processing run, scan Kinesis Data Streams for unprocessed records.
B. Switch the EC2 instance type from t2.large to a larger general compute instance type. Put the bid processor EC2 instances in an Auto Scaling group that scales out the number of EC2 instances running the bid processor, based on the IncomingRecords metric in Kinesis Data Streams.
C. Refactor the web application to post each incoming bid to an Amazon SQS FIFO queue in place of Kinesis Data Streams. Refactor the bid processor to continuously the SQS queue. Place the bid processing EC2 instance in an Auto Scaling group with a minimum and a maximum size of 1.
D. Refactor the web application to post each incoming bid to an Amazon SNS topic in place of Kinesis Data Streams. Configure the SNS topic to trigger an AWS Lambda function that processes each bid as soon as a user submits it.
Answer: C
Explanation:
FIFO is better in this case compared to Kinesis, as it guarantee the order of the bid. Min Max 1, is okay as the SQS will hold the queue in case of failure of the instance, till it come back again.

NEW QUESTION: 2
You administer a Microsoft SQL Server instance that has multiple databases. You have a two-node SQL Server failover cluster. The cluster uses a storage area network (SAN).
You discover I/O issues. The SAN is at capacity and additional disks cannot be added.
You need to reduce the I/O workload on the SAN at a minimal cost.
What should you do?
A. Expand the tempdb data and log files
B. Modify application code to use table variables
C. Move the tempdb files to a local disk
D. Move user databases to a local disk.
Answer: C

NEW QUESTION: 3
Match the Azure services to appropriate requirements.
To answer, drag the appropriate services from the column on the left to its requirement on the right. Each service may be used once. more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:
Explanation:

NEW QUESTION: 4
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine eindeutige Lösung, mit der die angegebenen Ziele erreicht werden können. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie haben eine Datenbank mit dem Namen DB1, die zwei Tabellen mit den Namen Sales.Customers und Sales.Orders enthält.
Sales.Customers hat eine Fremdschlüsselbeziehung zu einer Spalte namens CustomerID in Sales.Orders.
Sie müssen eine Abfrage empfehlen, die alle Kunden zurückgibt. Die Abfrage muss auch die Anzahl der Bestellungen zurückgeben, die jeder Kunde im Jahr 2016 aufgegeben hat.
Lösung: Sie empfehlen folgende Abfrage:

Erfüllt dies das Ziel?
A. Ja
B. Nein
Answer: A