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NEW QUESTION: 1
A DevOps Engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with CodeDeployDefault.OneAtATime. During an ongoing new deployment, the Engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision.
What is likely causing this issue?
A. The CodeDeploy agent was not installed in two affected instances.
B. The two affected instances failed to fetch the new deployment.
C. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.
D. A failed AfterInstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances.
Answer: C

NEW QUESTION: 2
Your company analyzes images from security cameras and sends alerts to security teams that respond to unusual activity. The solution uses Azure Databricks.
You need to send Apache Spark level events. Spark Structured Streaming metrics, and application metrics to Azure Monitor.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions in the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation
To send application metrics from Azure Databricks application code to Azure Monitor, follow these steps:
* Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file as described in the GitHub readme.
* Create Dropwizard gauges or counters in your application code. You can use the UserMetricsSystem class defined in the monitoring library.

NEW QUESTION: 3
You need to recommend a disaster recovery solution for the back-end tier of the payment processing system.
What should you include in the recommendation?
A. Always On Failover Cluster Instances
B. an auto-failover group
C. active geo-replication
D. Azure Site Recovery
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-auto-failover-group
Topic 1, Case Study B
Overview
Contoso,Ltd is a US-base finance service company that has a main office New York and an office in San Francisco.
Payment Processing Query System
Contoso hosts a business critical payment processing system in its New York data center. The system has three tiers a front-end web app a middle -tier API and a back end data store implemented as a Microsoft SQL Server
2014 database All servers run Windows Server 2012 R2.
The front -end and middle net components are hosted by using Microsoft Internet Inform-non Services (IK) The application rode is written in C# and middle- tier API uses the Entity framework to communicate the SQL Server database. Maintenance of the database e performed by using SQL Server Ago- The database is currently J IB and is not expected to grow beyond 3 TB.
The payment processing system has the following compliance related requirement
* Encrypt data in transit and at test. Only the front-end and middle-tier components must be able to access the encryption keys that protect the date store.
* Keep backups of the two separate physical locations that are at last 200 miles apart and can be restored for op to seven years.
* Support blocking inbound and outbound traffic based on the source IP address, the description IP address, and the port number
* Collect Windows security logs from all the middle-tier servers and retain the log for a period of seven years,
* Inspect inbound and outbound traffic from the from-end tier by using highly available network appliances.
* Only allow all access to all the tiers from the internal network of Contoso.
Tape backups ate configured by using an on-premises deployment or Microsoft System Center Data protection Manager (DPMX and then shaped ofsite for long term storage Historical Transaction Query System Contoso recently migrate a business-Critical workload to Azure. The workload contains a NET web server for querying the historical transaction data residing in azure Table Storage. The NET service is accessible from a client app that was developed in-house and on the client computer in the New Your office. The data in the storage is 50 GB and is not except to increase.
Information Security Requirement
The IT security team wants to ensure that identity management n performed by using Active Directory.
Password hashes must be stored on premises only.
Access to all business-critical systems must rely on Active Directory credentials. Any suspicious authentication attempts must trigger multi-factor authentication prompt automatically Legitimate users must be able to authenticate successfully by using multi-factor authentication.
Planned Changes
Contoso plans to implement the following changes:
* Migrate the payment processing system to Azure.
* Migrate the historical transaction data to Azure Cosmos DB to address the performance issues.
Migration Requirements
Contoso identifies the following general migration requirements:
Infrastructure services must remain available if a region or a data center fails. Failover must occur without any administrative intervention
* Whenever possible. Azure managed serves must be used to management overhead
* Whenever possible, costs must be minimized.
Contoso identifies the following requirements for the payment processing system:
* If a data center fails, ensure that the payment processing system remains available without any administrative intervention. The middle-tier and the web front end must continue to operate without any additional configurations-
* If that the number of compute nodes of the from -end and the middle tiers of the payment processing system can increase or decrease automatically based on CPU utilization.
* Ensure that each tier of the payment processing system is subject to a Service level Agreement (SLA) of
9959 percent availability
* Minimize the effort required to modify the middle tier API and the back-end tier of the payment processing system.
* Generate alerts when unauthorized login attempts occur on the middle-tier virtual machines.
* Insure that the payment processing system preserves its current compliance status.
* Host the middle tier of the payment processing system on a virtual machine.
Contoso identifies the following requirements for the historical transaction query system:
* Minimize the use of on-premises infrastructure service.
* Minimize the effort required to modify the .NET web service querying Azure Cosmos DB.
* If a region fails, ensure that the historical transaction query system remains available without any administrative intervention.
Current Issue
The Contoso IT team discovers poor performance of the historical transaction query as the queries frequently cause table scans.
Information Security Requirements
The IT security team wants to ensure that identity management is performed by using Active Directory.
Password hashes must be stored on-premises only.
Access to all business-critical systems must rely on Active Directory credentials. Any suspicious authentication attempts must trigger a multi-factor authentication prompt automatically. legitimate users must be able to authenticate successfully by using multi-factor authentication.