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NEW QUESTION: 1
You need to implement event processing by using Stream Analytics to produce consistent JSON documents.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You need to ensure that the missing indexes for REPORTINGDB are added.
What should you use?
A. Query Performance Insight
B. automatic tuning
C. extended events
D. SQL Database Advisor
Answer: B
Explanation:
Explanation
Automatic tuning options include create index, which identifies indexes that may improve performance of your workload, creates indexes, and automatically verifies that performance of queries has improved.
Scenario:
REPORTINGDB stores reporting data and contains server columnstore indexes.
Migrate SALESDB and REPORTINGDB to an Azure SQL database.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-automatic-tuning

NEW QUESTION: 2
게임 애플리케이션은 캐싱에 크게 의존하며 Redis 용 Amazon ElasticCache를 사용합니다. 캐시 노드의 장애로 인해 애플리케이션 성능이 최근 저하되었습니다.
향후 성능 저하를 최소화하기 위해 Solutions Architect가 권장할 사항은 무엇입니까?
A. ElasticCache에서 Amazon RDS로 마이그레이션
B. 자동 장애 조치로 ElasticCache Multi-AZ 구성
C. 캐시 데이터를 저장하도록 자동 백업 구성
D. Auto Scaling을 사용하여 CPU 사용량을 기반으로 캐시 노드를 프로비저닝
Answer: B

NEW QUESTION: 3
What is true about Aruba controllers under normal operations in a Mobility Master (MM)-Mobility Controller (MC) architecture?
A. Any controller can perform local configurations.
B. The APs can terminate on both Mobility Masters and Mobility Controllers.
C. The Mobility Master can push a full configuration to a Mobility Controller.
D. ARM must be used to optimize wireless performance.
Answer: A

NEW QUESTION: 4
A company that provides wireless services needs a solution to store and analyze log files about user activities. Currently, log files are delivered daily to Amazon Linux on Amazon EC2 instance.
A batch script is run once a day to aggregate data used for analysis by a third-party tool. The data pushed to the third- party tool is used to generate a visualization for end users. The batch script is cumbersome to maintain, and it takes several hours to deliver the ever-increasing data volumes to the third-party tool. The company wants to lower costs, and is open to considering a new tool that minimizes development effort and lowers administrative overhead. The company wants to build a more agile solution that can store and perform the analysis in near-real time, with minimal overhead. The solution needs to be cost effective and scalable to meet the company's end-user base growth.
Which solution meets the company's requirements?
A. Use an Amazon Kinesis agent running on an EC2 instance in an Auto Scaling group to collect and send the data to an Amazon Kinesis Data Forehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data directly to Amazon ES. Use Kibana to visualize the data.
B. Use an in-memory caching application running on an Amazon EBS-optimized EC2 instance to capture the log data in near real-time. Install an Amazon ES cluster on the same EC2 instance to store the log files as they are delivered to Amazon EC2 in near real-time. Install a Kibana plugin to create the visualizations.
C. Use an Amazon Kinesis agent running on an EC2 instance to collect and send the data to an Amazon Kinesis Data Firehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data to Amazon S3. Use an AWS Lambda function to deliver the data from Amazon S3 to Amazon ES. Use Kibana to visualize the data.
D. Develop a Python script to failure the data from Amazon EC2 in real time and store the data in Amazon S3. Use a copy command to copy data from Amazon S3 to Amazon Redshift. Connect a business intelligence tool running on Amazon EC2 to Amazon Redshift and create the visualizations.
Answer: A
Explanation:
https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html
A: Not real time.
C: Not sure if in-memory caching will help in terms of logs and not DB? Anyway installing ES cluster on the same EC2 instance means the ES is not managed and will increase overhead.
D: ES already has direct integration with Firehose, there is no need to transfer to S3 first unless it needs to retain the data for long period of time for analysis
https://aws.amazon.com/elasticsearch-service/?nc=sn&loc=1