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NEW QUESTION: 1
Examine the parameters for your database instance:
NAME TYPE VALUE
----------------------------------------------------------------------------------------------------- optimizer_adaptive_reporting_onlyboolean FALSE optimizer_capture_sql_plan_baselinesboolean FALSE optimizer_dynamic_samplinginteger 2 optimizer_features_enablestring 12.1.0.1 Which three statements are true about the process of automatic optimization by using statistics feedback?
A. The optimizer enables monitoring for cardinality feedback after the first execution of a query.
B. After the optimizer identifies a query as a re-optimization candidate, statistics collected by the collectors are submitted to the optimizer.
C. The optimizer can re optimize a query only once using cardinality feedback.
D. The optimizer does not monitor cardinality feedback if dynamic sampling and multicolumn statistics are enabled.
E. The optimizer automatically changes a plan during subsequent execution of a SQL statement if there is a huge difference in optimizer estimates and execution statistics.
Answer: A,D,E
Explanation:
Explanation/Reference:
Explanation:
C: During the first execution of a SQL statement, an execution plan is generated as usual.
D: if multi-column statistics are not present for the relevant combination of columns, the optimizer can fall back on cardinality feedback.
(not B)* Cardinality feedback. This feature, enabled by default in 11.2, is intended to improve plans for repeated executions.
optimizer_dynamic_sampling
optimizer_features_enable
Dynamic sampling or multi-column statistics allow the optimizer to more accurately estimate selectivity of conjunctive predicates.
Note:
* OPTIMIZER_DYNAMIC_SAMPLING controls the level of dynamic sampling performed by the optimizer.
Range of values. 0 to 10
Cardinality feedback was introduced in Oracle Database 11gR2. The purpose of this feature is to automatically improve plans for queries that are executed repeatedly, for which the optimizer does not estimate cardinalities in the plan properly. The optimizer may misestimate cardinalities for a variety of reasons, such as missing or inaccurate statistics, or complex predicates. Whatever the reason for the misestimate, cardinality feedback may be able to help.

NEW QUESTION: 2
会社のデータエンジニアリングソリューションを開発します。 アプリケーションは、Microsoft Azure上にデータベースを作成します。
次のコードがあります。
どのデータベースと承認タイプが使用されますか？ 回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Azure Cosmos DB
The DocumentClient.CreateDatabaseAsync(Database, RequestOptions) method creates a database resource as an asychronous operation in the Azure Cosmos DB service.
Box 2: Master Key
Azure Cosmos DB uses two types of keys to authenticate users and provide access to its data and resources:
Master Key, Resource Tokens
Master keys provide access to the all the administrative resources for the database account. Master keys:
* Provide access to accounts, databases, users, and permissions.
* Cannot be used to provide granular access to containers and documents.
* Are created during the creation of an account.
* Can be regenerated at any time.

NEW QUESTION: 3
Your company's data center uses multiple routing instances on shared hardware, but needs to share routing information between routing instances.
In this scenario, what are three ways to share routes between routing instances? (Choose three.)
A. GRE tunnels
B. IPsec tunnels
C. RIB groups
D. logical tunnels
E. instance import
Answer: C,D,E
Explanation:
Explanation/Reference:
Explanation:
The reference link below is a blog post that shows you three ways to leak routes between tables - using RIB groups, Instance Import and Logical Tunnels.
Reference: http://matt.dinham.net/route-leaking-with-junos/

NEW QUESTION: 4
After CAC based on channel usage is configured to control user access on an AP, if the current channel usage exceeds the configured threshold, the AP will reject access requests of new STAs and force STAs to log out until the channel usage is lower than the threshold.
A. FALSE
B. TRUE
Answer: A