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NEW QUESTION: 1
製造会社は飛躍的に成長しており、ITインフラストラクチャとeコマースの存在感を高めるための資金を確保しています。 同社のeコマースプラットフォームは、次のもので構成されています。
*静的アセットは、主にAmazon S3に保存されている製品画像で構成されています。
*商品情報、ユーザー情報、注文情報を格納するAmazon DynamoDBテーブル。
* Elastic Load Balancerの背後にあるアプリケーションのフロントエンドを含むWebサーバー。
同社は、別のリージョンに災害復旧サイトを設置したいと考えています。
ソリューションアーキテクトがすべての要件を満たしながら新しい設計を実装するために実行する必要があるアクションの組み合わせはどれですか。 (3つ選択してください。)
A. Enable Amazon Route 53 health checks to determine if the primary site is down, and route traffic to the disaster recovery site if there is an issue.
B. Enable Amazon S3 cross-Region replication on the buckets that contain static assets.
C. Enable Amazon CloudWatch and create CloudWatch alarms that route traffic to the disaster recovery site when application latency exceeds the desired threshold.
D. Enable multi-Region targets on the Elastic Load Balancer and target Amazon EC2 instances in both Regions.
E. Enable DynamoDB global tables to achieve a multi-Region table replication.
F. Enable Amazon S3 versioning on the source and destination buckets containing static assets to ensure there is a rollback version available in the event of data corruption.
Answer: A,C,F

NEW QUESTION: 2
Which two are valid examples of String engines? (Choose two.)
A. String TCP
B. String UDP
C. String Trojan
D. String HTTP
E. String FTP
F. String IP
Answer: A,B
Explanation:
http://www.cisco.com/en/US/docs/security/ips/6.0/configuration/guide/idm/dmSigEng.html#wp1048 255
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NEW QUESTION: 3
Examine the parameters for your database instance:
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Which three statements are true about the process of automatic optimization by using cardinality feedback? (Choose three.)
A. After the optimizer identifies a query as a re-optimization candidate, statistics collected by the collectors are submitted to the optimizer.
B. The optimizer enables monitoring for cardinality feedback after the first execution of a query.
C. 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.
D. The optimizer does not monitor cardinality feedback if dynamic sampling and multicolumn statistics are enabled.
E. The optimizer can re optimize a query only once using cardinality feedback.
Answer: B,C,D
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: 4
A security engineer is setting up passwordless authentication for the first time.
INSTRUCTIONS
Use the minimum set of commands to set this up and verify that it works. Commands cannot be reused.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.
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New Databricks-Machine-Learning-Associate Test Discount
Answer:
Explanation:
New Databricks-Machine-Learning-Associate Test Discount