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NEW QUESTION: 1
DevOpsエンジニアは、スケーラブルな3層Node.jsアプリケーションをAWSにデプロイする必要があります。アプリケーションは、デプロイメント中にダウンタイムが発生せず、以前のバージョンにロールバックできる必要があります。他のアプリケーションも同じMySQLバックエンドデータベースに接続します。 CIOは、ロギングに関する次のガイダンスを提供しています。
-現在のすべてのWebアクセスサーバーログを一元的に表示します。
-Webおよびアプリケーションログをほぼリアルタイムで検索およびフィルタリングします。
-ログデータを3か月間保持します。
これらの要件はどのように満たす必要がありますか？
A. AWS Elastic Beanstalkを使用してアプリケーションをデプロイします。 Elastic Load BalancingとAuto Scalingの環境タイプを構成します。 Elastic Beanstalkスタック内にAmazon RDS MySQLインスタンスを作成します。 Elastic Beanstalkログオプションを設定して、Amazon CloudWatch Logsにログをストリーミングします。保持を90日に設定します。
B. アプリケーションをAmazon EC2にデプロイします。 Elastic Load BalancingとAuto Scalingを構成します。データベース層にはAmazon RDS MySQLインスタンスを使用します。 Amazon Kinesis Data Firehouseを使用してストリーミングログデータをAmazon ESにロードするようにアプリケーションを設定します。 90日ごとに新しいAmazon ESドメインを削除して作成します。
C. アプリケーションをAmazon EC2にデプロイします。 Elastic Load BalancingとAuto Scalingを構成します。データベース層にはAmazon RDS MySQLインスタンスを使用します。 Amazon S3にログファイルを保存するようにアプリケーションを構成します。 Amazon EMRを使用して、データを検索およびフィルタリングします。 Amazon S3ライフサイクルルールを設定して、90日後にオブジェクトを期限切れにします。
D. AWS Elastic Beanstalkを使用してアプリケーションをデプロイします。 Elastic Load BalancingとAuto Scalingの環境タイプを構成します。 Elastic Beanstalkスタックの外部にAmazon RDS MySQLインスタンスを作成します。 Elastic Beanstalkログオプションを設定して、Amazon CloudWatch Logsにログをストリーミングします。保持を90日に設定します。
Answer: D
Explanation:
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.logging.html The Amazon EC2 instances in your Elastic Beanstalk environment generate logs that you can view to troubleshoot issues with your application or configuration files. Logs created by the web server, application server, Elastic Beanstalk platform scripts, and AWS CloudFormation are stored locally on individual instances. You can easily retrieve them by using the environment management console or the EB CLI. You can also configure your environment to stream logs to Amazon CloudWatch Logs in real-time.
NEW QUESTION: 2
Which two are true about Smart Scan?
A. It is possible to offload single row functions to the storage servers.
B. Some joins can be offloaded to the storage servers.
C. Column projection does not contribute to the performance benefit of Smart Scan
D. A query rewrite may occur to a container table stored Exadata, and it will always benefit from Smart Scan.
E. All joins can be offloaded to the storage servers.
F. a query rewrite may occur to a container table stored in Exadata but will never benefit From Smart scan.
Answer: A,B
Explanation:
C:With Exadata storage, database operations are handled much more efficiently.
Queries that perform table scans can be processed within Exadata storage with only the required
subset of data returned to the database server. Row filtering, column filtering and some join
processing (among other functions) are performed within the Exadata storage cells. When this
takes place only the relevant and required data is returned to the database server.
D (not F):
*Exadata performs joins between large tables and small lookup tables, a very common scenario
for data warehouses with star schemas. Joining large tables and small lookup tables is
implemented using Bloom Filters, which are a very efficient probabilistic method to determine
whether a row is a member of the desired result set.
*If storage indexes are so great, why doesn't Oracle Exadata use them all the time? The short
answer is that they are created and used only when they will be beneficial.
*To use storage indexes, Oracle Exadata queries must use smart scans, so not all types of
applications can benefit from storage indexes. Applications with queries that include predicates
and perform a lot of full table scans or fast full scans of indexes-typically those used in data
warehousing environments-will benefit greatly from storage indexes. Online
transactionprocessing (OLTP) applications, on the other hand, typically access a small number of
rows through standard indexes and do not perform full table scans, so they may not benefit from
storage indexes.
Note:
*Storage indexes reside in the memory of the storage servers-also called storage cells-and
significantly reduce unnecessary I/O by excluding irrelevant database blocks in the storage cells.
*To use storage indexes, Oracle Exadata queries must use smart scans, so not all types of
applications can benefit from storage indexes.
Incorrect:
Not B:Exadata provides column filtering, also called column projection, for table scans. Only the
columns requested are returned to the database server rather than all columns in a table. For example, when the following SQL is issued, only the employee_name and employee_number columns are returned from Exadata to the database kernel.
SELECT employee_name, employee_number FROM employee_table. For tables with many columns, or columns containing LOBs (Large Objects), the I/O bandwidth saved can be very large. Using both predicate and column filtering dramatically improves performance and reduces I/O bandwidth consumption. In addition, column filtering also applies to indexes, allowing for even faster query performance.
Reference: OracleCommunications Data Model Implementation and Operations Guide,Exadata Smart Scan Processing and Storage Index
NEW QUESTION: 3
In a chain-link fence with mesh openings for general security purposes, the openings should be no larger
than:
A. 2 inches
B. 4 inches
C. 11/5 inches
D. 4 . inches
E. 2112 inches
Answer: A
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