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NEW QUESTION: 1
DRAG DROP
You are developing a SQL Server Integration Services (SSIS) project by using the Project
Deployment model.
The project contains many packages. It is deployed on a server named SQLTest1. The project will be deployed to several servers that run SQL Server 2016.
The project accepts one required parameter. The data type of the parameter is a string.
A SQL Agent job is created that will call the Loading.dtsx package in the project. A job step is created for the SSIS package.
The job must pass the value of an SSIS Environment Variable to the project parameter.
The value of the Environment Variable must be configured differently on each server that runs SQL Server. The value of the Environment Variable must provide the server name to the project parameter.
You need to configure SSIS on the SQLTest1 server to pass the Environment Variable to the package.
Which four actions should you perform in sequence by using SQL Server Management
Studio?
(To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)
Answer:
Explanation:
NEW QUESTION: 2
A Developer is maintaining a fleet of 50 Amazon EC2 Linux servers. The servers are part of an Amazon EC2 Auto Scaling group, and also use Elastic Load Balancing for load balancing.
Occasionally, some application servers are being terminated after failing ELB HTTP health checks. The Developer would like to perform a root cause analysis on the issue, but before being able to access application logs, the server is terminated.
How can log collection be automated?
A. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch subscription filter for EC2 Instance and trigger a CloudWatch agent that executes a script to called logs, push them to Amazon S3, and complete the lifecycle action Terminate Successful once logs are collected.
B. Use Auto Scaling lifecycle hooks to put instances in a Pending:Wait state. Create an Amazon CloudWatch Alarm for EC2 Instance Terminate and trigger an AWS Lambda function that executes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the Successful lifecycle action once logs are collected.
C. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create a Config rule for EC2 Instance-terminate Lifecycle and trigger a step function that executes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected. Action
D. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch Events rule for EC2 Instance- and trigger an AWS Lambda function that executes a SSM Run Command script to collect logs, push them to Amazon S3, terminate Lifecycle Action and complete the lifecycle action once logs are collected.
Answer: C
NEW QUESTION: 3
You are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube-system namespace of the cluster. You want a solution that uses the fewest possible services. What should you do?
A. Add the cluster's API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.
B. In the cluster's definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.
C. With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.
D. Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.
Answer: C
Explanation:
Reference:
https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl
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