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NEW QUESTION: 1
あなたの会社はAzure DevOpsに新しいWebアプリケーションのプロジェクトを持っています。
同社は変更管理にService Nowを使用しています。
コンポーネントを実稼働環境にデプロイする前に、変更要求が確実に処理されるようにする必要があります。
Azure DevOpsリリースパイプラインに統合する2つの方法は何ですか？正解はそれぞれ完全な解決策を提示します。
注：それぞれ正しい選択は1ポイントの価値があります。
A. ServiceNow REST APIを呼び出す配置コントロールを定義します。
B. QAステージへの配置後に配置後ゲートを定義します。
C. Prodステージへの配置の前に配置前ゲートを定義します。
D. Service Now SOAP APIを呼び出す配置コントロールを定義します。
Answer: B,C
Explanation:
説明
以下に示すのは、リリースパイプラインを通じてモデル化できるリリースパイプラインの例です。

この例では、Webサイトのリリースは、それぞれ異なるビルドパイプラインからの2つのビルド（成果物）の特定のバージョンを収集することによって作成されます。このリリースは最初にDevステージにデプロイされ、次に2つのQAステージに並行してフォークされます。展開が両方のQA段階で成功した場合、リリースはProd ring 1に、そしてProd ring 2に展開されます。各プロダクションリングは、世界中のさまざまな場所に展開された同じWebサイトの複数のインスタンスを表します。
参考資料：https://docs.microsoft.com/ja-jp/azure/devops/pipelines/release

NEW QUESTION: 2

A. Option C
B. Option D
C. Option A
D. Option B
Answer: C,D

NEW QUESTION: 3
部門ごとにAWSのコストを特定するために使用できる方法はどれですか？ （2つ選択してください。）
A. 部門ごとに個別のアカウントを作成します。
B. AWSアカウントのrootユーザーに対して多要素認証を有効にします。
C. 注文書を使用して請求書を支払います。
D. タグを使用して、各インスタンスを特定の部門に関連付けます。
E. 可能な限りリザーブドインスタンスを使用します。
Answer: A,C
Explanation:
Explanation
Tags are key-value pairs that allow you to organize your AWS resources into groups. You can use tags to:
Visualize information about tagged resources in one place, in conjunction with Resource Groups.
View billing information using Cost Explorer and the AWS Cost and Usage report.
Send notifications about spending limits using AWS Budgets.
Use logical groupings of your resources that make sense for your infrastructure or business. For example, you could organize your resources by:
Project
Cost center
Development environment
Application
Department
Reference: https://aws.amazon.com/premiumsupport/knowledge-center/tags-billing-cost-center-project/

NEW QUESTION: 4
Identify two situations in which full table scans will be faster than index range scans.
A. A query executing in parallel on a partitioned table with partitioned indexes.
B. A query with a highly selective filter fetching less than 5 percent of the rows from a table.
C. A query on a table with sparsely populated table blocks.
D. A query fetching less number of blocks than value specified by DB_FILE_MULTIBLOCK_READ_COUNT.
E. A highly selective query on a table having high clustering factor for an index.
Answer: A,D
Explanation:
D:DB_FILE_MULTIBLOCK_READ_COUNT is one of the parameters you can use to
minimize I/O during table scans. It specifies the maximum number of blocks read in one I/O
operation during a sequential scan. The total number of I/Os needed to perform a full table
scan depends on such factors as the size of the table, the multiblock read count, and
whether parallel execution is being utilized for the operation.
Online transaction processing (OLTP) and batch environments typically have values in the
range of 4 to 16 for this parameter. DSS and data warehouse environments tend to benefit
most from maximizing the value of this parameter. The optimizer is more likely to choose a
full table scan over an index if the value of this parameter is high.
Note:
*See 6) and 7) below.
The oracle optimizer choose the best plan and execute the query according the plan. It is
common to hear that my table has indexes but why oracle does not use indexes rather it is
using full table scan. There are several reasons behind choosing optimizer full table
scans. 1)The table has no indexes within it.
2)Table has indexes but they are not appropriate to queries. For example in the table there
is normal B-tree indexes but in the query the column used in the WHERE clause contains
function.
3)Query access large amount of data. The table has indexes but query against it select almost all of the rows. In that case optimizer might choose to full access of table. 4)Index creation order may not appropriate. You have composite indexes on a table but in the where clause the leading column inside indexes are not used rather trailing columns are used. 5)The table is skewed. For example column gender contains value 'M' 10,000 times but value 'F' only 10 times.6)The table is small. If a table can read in a single I/O call, then a full table scan might be cheaper than an index range scan. Single I/O call is defined by DB_FILE_MULTIBLOCK_READ_COUNT parameter and value defined by blocks.Check it by,SQL> show parameter DB_FILE_MULTIBLOCK_READ_COUNTNAME TYPE VALUE-
db_file_multiblock_read_count integer 16
7)High degree of parallelism. High degree of parallelism skews the optimizer toward full
table scans.
8)In the query if there is no filtering then full table scan is the choice.
*If an index has poor cardinality (ie. more than 4% rows with the same index key) then it
will perform poorly. It will usually be faster to perform a full table scan. eg. Table SALES
has an index on the column PAYMENT_METHOD which can contain values such as COD,
CREDIT, CHEQUE, CASH. The statement
SELECT *
FROM sales
WHERE payment_method = 'CASH'
will probably perform so badly that you are better off without the index.
*Oracle uses the full table scan as it assumes that it will have to read a certain part of the
table.
Reference: OracleDatabase Reference,DB_FILE_MULTIBLOCK_READ_COUNT