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NEW QUESTION: 1
Management has reported an increase in the monthly bill from Amazon Web Services, and they are extremely concerned with this increased cost. Management has asked you to determine the exact cause of this increase.
After reviewing the billing report, you notice an increase in the data transfer cost. How can you provide management with a better insight into data transfer use?
A. Use Amazon CloudWatch Logs to run a map-reduce on your logs to determine high usage and data transfer.
B. Update your Amazon CloudWatch metrics to use five-second granularity, which will give better detailed metrics that can be combined with your billing data to pinpoint anomalies.
C. Deliver custom metrics to Amazon CloudWatch per application that breaks down application data transfer into multiple, more specific data points.
D- Using Amazon CloudWatch metrics, pull your Elastic Load Balancing outbound data transfer metrics monthly, and include them with your billing report to show which application is causing higher bandwidth usage.
Answer: C
Explanation:
Explanation
You can publish your own metrics to CloudWatch using the AWS CLI or an API. You can view statistical graphs of your published metrics with the AWS Management Console.
CloudWatch stores data about a metric as a series of data points. Each data point has an associated time stamp.
You can even publish an aggregated set of data points called a statistic set.
If you have custom metrics specific to your application, you can give a breakdown to the management on the exact issue.
Option A won't be sufficient to provide better insights.
Option B is an overhead when you can make the application publish custom metrics Option D is invalid because just the ELB metrics will not give the entire picture For more information on custom metrics, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.htmI
NEW QUESTION: 2
3層Webアプリケーションは、顧客からの注文を処理します。 Web層は、Application Load Balancerの背後にあるAmazon EC2インスタンス、Amazon SQSを使用してWeb層から分離された3つのEC2インスタンスの中間層で構成されます。そしてAmazon DynamoDBバックエンド。ピーク時には、サイトを使用して注文を送信する顧客は、処理時間が長いため、確認を受け取るまでに通常よりもはるかに長く待たなければなりません。ソリューションアーキテクトは、これらの処理時間を短縮する必要があります。
これを達成するために最も効果的なアクションはどれですか？
A. Amazon CloudFrontディストリビューションを追加して、Web層の応答をキャッシュします。
B. Amazon EC2 Auto Scalingを使用して、SOSキューの深さに基づいて中間層インスタンスをスケールアウトします。
C. DynamoDBバックエンド層の前でRedis用Amazon ElastiCacheを使用します。
D. SQSキューをAmazon Kinesis Data Firehoseに置き換えます。
Answer: B
NEW QUESTION: 3
You run the sp_whosystem stored procedure. A process is blocked by a long-running operation.
You need to identify details of the processes involved in the deadlock including the resources that are being accessed. You must able to view the deadlock chain.
What should you use?
A. Query performance insights
B. DBCC OPENTRAN()
C. Data collector
D. Extended events
Answer: D
Explanation:
Explanation/Reference:
Explanation:
SQL Server Extended Events has a highly scalable and highly configurable architecture that allows users to collect as much or as little information as is necessary to troubleshoot or identify a performance problem.
Incorrect Answers:
A: DBCC OPENTRAN helps to identify active transactions that may be preventing log truncation. DBCC OPENTRAN displays information about the oldest active transaction and the oldest distributed and nondistributed replicated transactions, if any, within the transaction log of the specified database.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/extended-events/extended-events?view=sql- server-2017
https://docs.microsoft.com/en-us/sql/t-sql/database-console-commands/dbcc-opentran-transact-sql?
view=sql-server-2017
NEW QUESTION: 4
To improve response times for an OLAP application, a customer requires a SAN-attached storage
solution with microsecond latency and highest density per rack.
Which of the following supports these requirements?
A. EXP30
B. Storwize V7000
C. FlashSystem 900
D. Storwize V3700
Answer: A