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NEW QUESTION: 1
You have a database that stores information for a shipping company. You create a table named
Customers by running the following Transact-SQL statement. (Line numbers are included for reference
only.)

The salesPerson column stores the username of the salesperson. You must create a security policy that
ensures that salespeople can view data only for the customers that are assigned to them.
You need to create the function that will be used as the filter predicate for the security policy. You write the
following Transact-SQL:

Which Transact-SQL segment should you insert at line 02?
A:

B:

C:

D:

A. Option A
B. Option C
C. Option D
D. Option B
Answer: D
Explanation:
Explanation/Reference:
Explanation:
The inline table-valued function required for a Stretch Database filter predicate looks like the following
example.
The parameters for the function have to be identifiers for columns from the table.
Schema binding is required to prevent columns that are used by the filter function from being dropped or
altered.
Example:
CREATE FUNCTION dbo.fn_stretchpredicate(@column1 datatype1, @column2 datatype2 [, ...n])
RETURNS TABLE
WITH SCHEMABINDING
AS
RETURN SELECT 1 AS is_eligible
WHERE <predicate>
References: https://docs.microsoft.com/en-us/sql/sql-server/stretch-database/select-rows-to-migrate-by-
using-a-filter-function-stretch-database?view=sql-server-2017

NEW QUESTION: 2

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

NEW QUESTION: 3
ロードバランサーの背後にあるAmazon EC2インスタンスで実行されるステートレスWebサーバー層で構成されるアプリケーションがあり、リードレプリカでAmazon RDSを使用しています。自己修復と費用効果の高いアーキテクチャを実装するには、次のどの方法を使用する必要がありますか？以下のオプションから2つの回答を選択してください
A. Webサーバー層にはより大きなAmazon EC2インスタンスタイプを、データストレージレイヤーにはより大きなDBインスタンスタイプを使用して、それらが異常にならないようにします。
B. Amazon EC2 CPU使用率CloudWatchメトリックスを使用してインスタンスをスケーリングするAuto Scalingポリシーとともに、Webサーバー層のAuto Scalinggroupをセットアップします。
C. Amazon RDSマルチAZデプロイメントを使用します。
D. Amazon RDSリードレプリカのラグCloudWatchメトリックスを使用してAmazon RDSリードレプリカをスケールアウトするAuto Scalingポリシーとともに、データベース層のAuto Scalinggroupをセットアップします。
E. Amazon RDS DB CPU使用率Cloud Watchメトリックスを使用してインスタンスをスケーリングするAuto Scalingポリシーとともに、Webサーバー層のAuto Scalinggroupをセットアップします。
F. カスタムのCloud Watchメトリックスを発行して異常なAmazon EC2インスタンスの終了をトリガーするために、Amazon EC2インスタンスのクラスターでサードパーティのモニタリングソリューションをセットアップします。
G. 各Amazon EC2インスタンスにスクリプトを設定して、ICMP pingをロードバランサーに頻繁に送信し、異常なインスタンスを特定して置き換える。
Answer: B,C
Explanation:
Explanation
The scaling of CC2 Instances in the Autoscaling group is normally done with the metric of the CPU utilization of the current instances in the Autoscaling group For more information on scaling in your Autoscaling Group, please refer to the below link:
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/as-scaling-si mple-step.html
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Cach AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby for to a read replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is complete. For more information on RDS Multi-AZ please refer to the below link:
* https://aws.amazon.com/rds/details/multi-az/
Option A is invalid because if you already have in-built metrics from Cloudwatch, why would you want to spend more in using a a third-party monitoring solution.
Option B is invalid because health checks are already a feature of AWS CLB Option C is invalid because the database CPU usage should not be used to scale the web tier.
Option C is invalid because increasing the instance size does not always guarantee that the solution will not become unhealthy.
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB fails.

NEW QUESTION: 4
Groupings of Applications in McAfee DLP used in rule creation are called
A. Whitelisted Applications.
B. Application Definitions.
C. Enterprise Applications List.
D. Application Inventory.
Answer: B