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NEW QUESTION: 1
DRAG DROP
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You are developing a database to track customer orders. The database contains the following tables: Sales.Customers, Sales.Orders, and Sales.OrderLines. The following table describes the columns in Sales.Customers.

The following table describes the columns in Sales.Orders.

The following table describes the columns in Sales.OrderLines.

You need to create a function that accepts a CustomerID as a parameter and returns the following information:
- all customer information for the customer
- the total number of orders for the customer
- the total price of all orders for the customer
- the average quantity of items per order
How should you complete the function definition? To answer, drag the appropriate Transact-SQL segment to the correct locations. Transact-SQL segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Explanation:

Box1: RETURNS TABLE
The function should return the following information:
- all customer information for the customer
- the total number of orders for the customer
- the total price of all orders for the customer
- the average quantity of items per order
Box 2: COUNT
The function should return the total number of orders for the customer.
Box 3: SUM
The function should return the total price of all orders for the customer.
Box 3. AVG
The function should return the average quantity of items per order.
Box 4: GROUP BY
Need to use GROUP BY for the aggregate functions.
References: https://msdn.microsoft.com/en-us/library/ms186755.aspx

NEW QUESTION: 2
In Microsoft 365 konfigurieren Sie eine DLP-Richtlinie (Data Loss Prevention) mit dem Namen Policy1. Policy1 erkennt die Freigabe von US-amerikanischen Bankkontonummern in E-Mail-Nachrichten und Anhängen.
Policy1 ist wie in der Ausstellung gezeigt konfiguriert. (Klicken Sie auf die Registerkarte Ausstellung.)

Sie müssen sicherstellen, dass interne Benutzer Dokumente mit US-Bankkontonummern per E-Mail an externe Benutzer senden können, die das E-Mail-Suffix contoso.com haben.
Was solltest du konfigurieren?
A. eine Bedingung
B. eine Aktion
C. eine Gruppe
D. eine Ausnahme
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/office365/securitycompliance/data-loss-prevention-policies#how-dlp-policies-w

NEW QUESTION: 3
Amazon EC2インスタンスを管理するために構成管理システムを使用しています。
Amazon EC2インスタンスで、Amazon RDS DBインスタンスに接続するための認証情報を保存します。
これらの資格情報を安全に保存するにはどうすればよいですか？
A. Amazon EC2インスタンスに、プライベートAmazon S3バケットへの読み取りアクセスを許可するIAMロールを付与します。
データベースの認証情報を含むファイルをAmazon S3バケットに保存します。
必要に応じて、構成管理システムにバケットからファイルをプルしてもらいます。
B. IAMロールをAmazon RDSインスタンスに割り当て、このIAMロールを使用してAmazon EC2インスタンスからAmazon RDS DBにアクセスします。
C. Amazon EC2インスタンスを起動し、構成管理システムを使用して、Amazon RDS DB認証情報でインスタンスをブートストラップします。
このインスタンスからAMIを作成します。
D. 資格情報をバージョン管理システムにプレーンテキストで保存します。
起動時にバージョン管理システムから認証情報のコピーをチェックアウトします。
Amazon RDS DBの認証情報を格納するボリュームでAmazon EBS暗号化を使用します。
E. Amazon RDS DBの認証情報をAmazon EC2ユーザーデータに保存します。
起動時に認証情報をインスタンスにインポートします。
Answer: A

NEW QUESTION: 4
CORRECT TEXT
Problem Scenario 19 : You have been given following mysql database details as well as other info.
user=retail_dba
password=cloudera
database=retail_db
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Now accomplish following activities.
1. Import departments table from mysql to hdfs as textfile in departments_text directory.
2. Import departments table from mysql to hdfs as sequncefile in departments_sequence directory.
3. Import departments table from mysql to hdfs as avro file in departments avro directory.
4. Import departments table from mysql to hdfs as parquet file in departments_parquet directory.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Import departments table from mysql to hdfs as textfile
sqoop import \
-connect jdbc:mysql://quickstart:3306/retail_db \
~ username=retail_dba \
-password=cloudera \
-table departments \
-as-textfile \
-target-dir=departments_text
verify imported data
hdfs dfs -cat departments_text/part"
Step 2 : Import departments table from mysql to hdfs as sequncetlle
sqoop import \
-connect jdbc:mysql://quickstart:330G/retaiI_db \
~ username=retail_dba \
-password=cloudera \
--table departments \
-as-sequencetlle \
-~target-dir=departments sequence
verify imported data
hdfs dfs -cat departments_sequence/part*
Step 3 : Import departments table from mysql to hdfs as sequncetlle
sqoop import \
-connect jdbc:mysql://quickstart:330G/retaiI_db \
~ username=retail_dba \
--password=cloudera \
--table departments \
--as-avrodatafile \
--target-dir=departments_avro
verify imported data
hdfs dfs -cat departments avro/part*
Step 4 : Import departments table from mysql to hdfs as sequncetlle
sqoop import \
-connect jdbc:mysql://quickstart:330G/retaiI_db \
~ username=retail_dba \
--password=cloudera \
-table departments \
-as-parquetfile \
-target-dir=departments_parquet
verify imported data
hdfs dfs -cat departmentsparquet/part*