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NEW QUESTION: 1
What VM Monitoring setting would ensure that the failure interval for a virtual machine is defined as 120 seconds?
A. Normal
B. Low
C. High
D. Medium
Answer: B
Explanation:
Explanation/Reference:
Explanation:

Reference:
https://blogs.vmware.com/vsphere/2014/03/vsphere-ha-vm-monitoring-back-basics.html

NEW QUESTION: 2
See the Exhibit and examine the structure of the SALES, CUSTOMERS, PRODUCTS and ITEMS tables:

The PROD_ID column is the foreign key in the SALES table, which references the PRODUCTS table.
Similarly, the CUST_ID and TIME_ID columns are also foreign keys in the SALES table referencing the CUSTOMERS and TIMES tables, respectively.
Evaluate the following the CREATE TABLE command:
Exhibit:

Which statement is true regarding the above command?
A. The NEW_SALES table would get created and all the FOREIGN KEY constraints defined on the specified columns would be passed to the new table
B. The NEW_SALES table would not get created because the column names in the CREATE TABLE command and the SELECT clause do not match
C. The NEW_SALES table would get created and all the NOT NULL constraints defined on the specified columns would be passed to the new table
D. The NEW_SALES table would not get created because the DEFAULT value cannot be specified in the column definition
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Creating a Table Using a Subquery
Create a table and insert rows by combining the CREATE
TABLE statement and the AS subquery option.
CREATE TABLE table
[(column, column...)]
AS subquery;
Match the number of specified columns to the number of subquery columns.
Define columns with column names and default values.
Guidelines
The table is created with the specified column names, and the rows retrieved by the SELECT statement are inserted into the table.
The column definition can contain only the column name and default value.
If column specifications are given, the number of columns must equal the number of columns in the subquery SELECT list.
If no column specifications are given, the column names of the table are the same as the column names in the subquery.
The column data type definitions and the NOT NULL constraint are passed to the new table. Note that only the explicit NOT NULL constraint will be inherited. The PRIMARY KEY column will not pass the NOT NULL feature to the new column. Any other constraint rules are not passed to the new table. However, you can add constraints in the column definition.

NEW QUESTION: 3
Microsoft VisualStudioのStreamAnalyticsプロジェクトソリューションであるAzureStreamAnalyticsジョブがあります。このジョブは、IoTデバイスによって生成されたデータをJSON形式で受け入れます。
IoTデバイスによって生成されたデータをProtobuf形式で受け入れるようにジョブを変更する必要があります。
Visual Studioから順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序で配置します。

Answer:
Explanation:
Explanation

Step 1: Add an Azure Stream Analytics Custom Deserializer Project (.NET) project to the solution.
Create a custom deserializer
1. Open Visual Studio and select File > New > Project. Search for Stream Analytics and select Azure Stream Analytics Custom Deserializer Project (.NET). Give the project a name, like Protobuf Deserializer.

2. In Solution Explorer, right-click your Protobuf Deserializer project and select Manage NuGet Packages from the menu. Then install the Microsoft.Azure.StreamAnalytics and Google.Protobuf NuGet packages.
3. Add the MessageBodyProto class and the MessageBodyDeserializer class to your project.
4. Build the Protobuf Deserializer project.
Step 2: Add .NET deserializer code for Protobuf to the custom deserializer project Azure Stream Analytics has built-in support for three data formats: JSON, CSV, and Avro. With custom
.NET deserializers, you can read data from other formats such as Protocol Buffer, Bond and other user defined formats for both cloud and edge jobs.
Step 3: Add an Azure Stream Analytics Application project to the solution Add an Azure Stream Analytics project
1. In Solution Explorer, right-click the Protobuf Deserializer solution and select Add > New Project. Under Azure Stream Analytics > Stream Analytics, choose Azure Stream Analytics Application. Name it ProtobufCloudDeserializer and select OK.
2. Right-click References under the ProtobufCloudDeserializer Azure Stream Analytics project. Under Projects, add Protobuf Deserializer. It should be automatically populated for you.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/custom-deserializer

NEW QUESTION: 4
You have a server named Server1 that runs Windows Server 2012 R2.
You are configuring a storage space on Server1.
You need to ensure that the storage space supports tiered storage.
Which settings should you configure?
To answer, select the appropriate options in the answer area.


Answer:
Explanation:

Explanation

Disk Allocation: Automatic

* When using tiers, you must fixed provisioning.
http://blogs.technet.com/resized-image.ashx/__size/550x0/__key/communityserver-blogs-components-weblogfil

Reference: Storage Spaces: How to configure Storage Tiers with Windows Server 2012 R2