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NEW QUESTION: 1
What will enable WLM assisted buffer pool management?
A. WLMUSE(YES)
B. BPWLM(YES)
C. AUTOSIZE(YES)
D. VPSIZEAUTO(YES)
Answer: C

NEW QUESTION: 2
You have installed two 64G flash devices to support the Database Smart Flash Cache feature on your database server that is running on Oracle Linux.
You have set the DB_SMART_FLASH_FILE parameter:
DB_FLASH_CACHE_FILE= '/dev/flash_device_1 ',' /dev/flash_device_2'
How should the DB_FLASH_CACHE_SIZE be configured to use both devices?
A. Set DB_FLASH_CACHE_ZISE = 64G, 64G
B. Set DB_FLASH_CACHE_ZISE = 64G.
C. DB_FLASH_CACHE_SIZE is automatically configured by the instance at startup.
D. Set DB_FLASH_CACHE_ZISE = 128G.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
* Smart Flash Cache concept is not new in Oracle 12C - DB Smart Flash Cache in Oracle 11g.
In this release Oracle has made changes related to both initialization parameters used by DB Smart Flash cache. Now you can define many files|devices and its sizes for "Database Smart Flash Cache" area. In previous releases only one file|device could be defined.
DB_FLASH_CACHE_FILE = /dev/sda, /dev/sdb, /dev/sdc
DB_FLASH_CACHE_SIZE = 32G, 32G, 64G
So above settings defines 3 devices which will be in use by "DB Smart Flash Cache"
/dev/sda - size 32G
/dev/sdb - size 32G
/dev/sdc - size 64G
New view V$FLASHFILESTAT - it's used to determine the cumulative latency and read counts of each file| device and compute the average latency

NEW QUESTION: 3
View the Exhibit and examine the structure of the PRODUCTS tables.
You want to generate a report that displays the average list price of product categories where the average list price is less than half the maximum in each category.
Which query would give the correct output?
A. SELECT prod_category, avg(prod_list_price)
FROM products
GROUP BY prod_category
HAVING avg(prod_list_price) > ANY
(SELECT max(prod_list_price)/2
FROM products
GROUP BY prod_category);
B. SELECT prod_category, avg(prod_list_price)
FROM products
GROUP BY prod_category
HAVING avg(prod_list_price) < ALL
(SELECT max(prod_list_price)/2
FROM products
GROUP BY prod_category);
C. SELECT prod_category, avg(prod_list_price)
FROM products
HAVING avg(prod_list_price) < ALL
(SELECT max(prod_list_price)/2
FROM products
GROUP BY prod_category);
D. SELECT prod_category, avg(prod_list_price)
FROM products
GROUP BY prod_category
HAVING avg(prod_list_price) > ANY
(SELECT max(prod_list_price)/2
FROM products);
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Using the ANY Operator in Multiple-Row Subqueries
The ANY operator (and its synonym, the SOME operator) compares a value to each value returned by a subquery.
<ANY means less than the maximum.
>ANY means more than the minimum.
=ANY is equivalent to IN
Using the ALL Operator in Multiple-Row Subqueries
The ALL operator compares a value to every value returned by a subquery.
>ALL means more than the maximum and
<ALL means less than the minimum.
The NOT operator can be used with IN, ANY, and ALL operators.

NEW QUESTION: 4
小売企業は現在、オンプレミスのデータセンターでJavaベースのアプリケーションをホストしています。
経営陣は、DevOpsエンジニアがこのアプリケーションをAWSに移行することを望んでいます。要件では、高可用性を維持しながら、インフラストラクチャの管理を可能な限りシンプルにする必要があると述べています。
また、新しいアプリケーションバージョンの展開中、コストは重要な指標ですが、エンジニアは、フリートの少なくとも半分がユーザートラフィックを処理できるようになっていることを確認する必要があります。
これらの要件を満たすために最低限の管理オーバーヘッドが必要なオプションはどれですか。
A. AWS CodeDeployデプロイグループを作成し、異なるアベイラビリティーゾーンのサブネット全体でインスタンスを起動するように構成されたAuto Scalingグループに関連付けます。 MinimumHealthyHostsオプションがタイプFLEET_PERCENTおよび値50に設定されたカスタムデプロイメント構成でインプレースデプロイメントを構成します。
B. AWS CodeDeployデプロイメントグループを作成し、異なるアベイラビリティーゾーンのサブネット全体でインスタンスを起動するように構成されたAuto Scalingグループに関連付けます。アプリケーションデプロイメントのCodeDeploy.HalfAtAtime構成を使用してインプレースデプロイメントを構成します。
C. Auto Scalingと負荷分散を使用して、AWS Elastic Beanstalk Javaベースの環境を作成します。
異なるアベイラビリティーゾーンのサブネット全体でインスタンスを起動する環境のネットワーク設定を構成します。バッチサイズが50％の展開戦略として、「追加のバッチを使用したローリング」を使用します。
D. Auto Scalingと負荷分散を使用して、AWS Elastic Beanstalk Javaベースの環境を作成します。
さまざまなアベイラビリティーゾーンのサブネット間でインスタンスを起動する環境のネットワークオプションを構成します。バッチサイズが50％の展開戦略として「ローリング」を使用します。
Answer: D

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