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NEW QUESTION: 1
You have a legacy application running that uses an m4.large instance size and cannot scale with Auto Scaling, but only has peak performance 5% of the time. This is a huge waste of resources and money so your Senior Technical Manager has set you the task of trying to reduce costs while still keeping the legacy application running as it should. Which of the following would best accomplish the task your manager has set you?
Choose the correct answer from the options below
A. Use a T2burstable performance instance.
B. Use t2.nano instance and add spot instances when they are required.
C. Use a C4.large instance with enhanced networking.
D. Use two t2.nano instances that have single Root I/O Visualization.
Answer: A
Explanation:
Explanation
The aws documentation clearly indicates using T2 CC2 instance types for those instances which don't use CPU that often.
T2
T2 instances are Burstable Performance Instances that provide a baseline level of CPU performance with the ability to burst above the baseline.
T2 Unlimited instances can sustain high CPU performance for as long as a workload needs it. For most general-purpose workloads, T2 Unlimited instances will provide ample performance without any additional charges. If the instance needs to run at higher CPU utilization for a prolonged period, it can also do so at a flat additional charge of 5 cents per vCPU-hour.
The baseline performance and ability to burst are governed by CPU Credits. T2 instances receive CPU Credits continuously at a set rate depending on the instance size, accumulating CPU Credits when they are idle, and consuming CPU credits when they are active. T2 instances are a good choice for a variety of general-purpose workloads including micro-services, low-latency interactive applications, small and medium databases, virtual desktops, development, build and stage environments, code repositories, and product prototypes. For more information see Burstable Performance Instances.
For more information on F_C2 instance types please see the below link:
* https://aws.amazon.com/ec2/instance-types/

NEW QUESTION: 2
Your database supports a DSS workload that involves the execution of complex queries: Currently, the library cache contains the ideal workload for analysis. You want to analyze some of the queries for an application that are cached in the library cache.
What must you do to receive recommendations about the efficient use of indexes and materialized views to improve query performance?
A. Run the Automatic Workload Repository Monitor (ADDM).
B. Create an STS that contains the queries cached in the library cache and run the SQL Performance Analyzer (SPA) on the workload captured in the STS.
C. Create an STS that contains the queries cached in the library cache and run the SQL Access Advisor on the workload captured in the STS.
D. Create a SQL Tuning Set (STS) that contains the queries cached in the library cache and run the SQL Tuning Advisor (STA) on the workload captured in the STS.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
* SQL Access Advisor is primarily responsible for making schema modification recommendations, such as adding or dropping indexes and materialized views. SQL Tuning Advisor makes other types of recommendations, such as creating SQL profiles and restructuring SQL statements.
* The query optimizer can also help you tune SQL statements. By using SQL Tuning Advisor and SQL Access Advisor, you can invoke the query optimizer in advisory mode to examine a SQL statement or set of statements and determine how to improve their efficiency. SQL Tuning Advisor and SQL Access Advisor can make various recommendations, such as creating SQL profiles, restructuring SQL statements, creating additional indexes or materialized views, and refreshing optimizer statistics.
Note:
* Decision support system (DSS) workload
* The library cache is a shared pool memory structure that stores executable SQL and PL/SQL code. This cache contains the shared SQL and PL/SQL areas and control structures such as locks and library cache handles.
References:

NEW QUESTION: 3
会社には複数のAWSアカウントがあります。アカウントは、主にAmazon EC2インスタンス用に、世界中の複数のチームで共有および使用されます。各EC2インスタンスには、チーム、環境、およびコストセンターのタグがあり、正確なコスト配分を保証します。
DevOpsエンジニアは、チームがコストを監査し、複数の共有環境とアカウントにわたるインフラストラクチャコストの最適化を自動化するのにどのように役立つべきですか？
A. コストセンター、環境、およびチームに基づいてEC2インスタンスタグ用に個別のAmazon CloudWatchダッシュボードを作成し、各チームの一意のリンクを使用してインスタンスタグを発行します。チームごとに、CloudWatchダッシュボードをソースとしてCloudWatchイベントルールを設定し、AWS Lambda関数を開始するトリガーを設定して、使用率の低いインスタンスを減らします。
B. AWS Systems Managerを使用してインスタンスの使用率を追跡し、使用率の低いインスタンスをAmazon CloudWatchに報告します。チーム、環境、コストセンターのタグに基づいてCloudWatchでデータをフィルターします。 CloudWatchからAWS Lambdaにトリガーを設定して、使用率の低いインスタンスを減らします
C. EC2インスタンスでスケジュールされたスクリプトを設定して、使用率を報告し、インスタンスをAmazon DynamoDBテーブルに保存します。ソースデータとしてDynamoDBを使用してAmazon QuickSightでダッシュボードを作成し、十分に活用されていないインスタンスを見つけます。 AWS LambdaでAmazon QuickSightからトリガーを設定して、使用率の低いインスタンスを減らします。
D. AWS Trusted Advisorを使用率の低いEC2インスタンスのソースとしてAmazon CloudWatch Eventsルールを作成します。各チーム、環境、およびコストセンターのタグに基づいてレポートされたデータをフィルターで除外するAWS Lambda関数をトリガーし、Lambda関数をAmazon S3に保存します。使用率の低いインスタンスを減らすためにLambda関数を開始する2番目のトリガーを設定します。
Answer: C