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Azure Username: xxxxx
Azure Password: xxxxx
Lab Instance: 10277521
You plan to create large data sets on db2.
You need to ensure that missing indexes are created automatically by Azure in db2. The solution must apply ONLY to db2.
To complete this task, sign in to the Azure portal.
See the explanation below.
1. To enable automatic tuning on Azure SQL Database logical server, navigate to the server in Azure portal and then select Automatic tuning in the menu.

2. Select database db2
3. Click the Apply button

Answer: B

Your company releases new features with high frequency while demanding high application availability. As
part of the application's A/B testing, logs from each updated Amazon EC2 instance of the application need to
be analyzed in near real-time, to ensure that the application is working flawlessly after each deployment. If the
logs show any anomalous behavior, then the application version of the instance is changed to a more stable
one. Which of the following methods should you use for shipping and analyzing the logs in a highly available
A. Ship the logs to an Amazon Kinesis stream and have the consumers analyze the logs in a live manner.
B. Ship the logs to Amazon S3 for durability and use Amazon EMR to analyze the logs in a batch manner
each hour.
C. Ship the logs to a large Amazon EC2 instance and analyze the logs in a live manner.
D. Ship the logs to Amazon CloudWatch Logs and use Amazon EMR to analyze the logs in a batch manner
each hour.
Answer: A
Answer - C
You can use Kinesis Streams for rapid and continuous data intake and aggregation. The type of data used
includes IT infrastructure log data, application logs, social
media, market data feeds, and web clickstream data. Because the response time for the data intake and
processing is in real time, the processing is typically
The following are typical scenarios for using Kinesis Streams:
* Accelerated log and data feed intake and processing - You can have producers push data directly into a
stream. For example, push system and application logs and they'll be available for processing in seconds. This
prevents the log data from being lost if the front end or application server fails. Kinesis Streams provides
accelerated data feed intake because you don't batch the data on the servers before you submit it for intake.
* Real-time metrics and reporting - You can use data collected into Kinesis Streams for simple data analysis
and reporting in real time. For example, your data-processing application can work on metrics and reporting
for system and application logs as the data is streaming in, rather than wait to receive batches of data.
For more information on Amazon Kinesis and SNS please refer to the below link:
* http://docs.aws.a

Which of the following is the only Android application component which interacts with user?
A. Service
B. Content Provider
C. Activity
D. broadcast Receivers
Answer: C