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NEW QUESTION: 1
You have deployed a Python application on Oracle Cloud Infrastructure Container Engine for Kubernetes. However, during testing you found a bug that you rectified and created a new Docker image. You need to make sure that if this new Image doesn't work then you can roll back to the previous version.
Using kubectl, which deployment strategies should you choose?
A. A/B Testing
B. Blue/Green Deployment
C. Canary Deployment
D. Rolling Update
Answer: B
Explanation:
Canary deployments are a pattern for rolling out releases to a subset of users or servers. The idea is to first deploy the change to a small subset of servers, test it, and then roll the change out to the rest of the servers. The canary deployment serves as an early warning indicator with less impact on downtime: if the canary deployment fails, the rest of the servers aren't impacted.
Blue-green deployment is a technique that reduces downtime and risk by running two identical production environments called Blue and Green. At any time, only one of the environments is live, with the live environment serving all production traffic. For this example, Blue is currently live and Green is idle.
A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against variant B, and determining which of the two variants is more effective A rolling update offers a way to deploy the new version of your application gradually across your cluster.

NEW QUESTION: 2
通信の変更ログを使用して、適切な関係者に変更があることを通知できます。
A. プロジェクト管理計画へ。
B. スコープ検証プロセス。
C. 時間、コスト、リスクの点でのプロジェクトへの影響。
D. リスクレジスタへ。
Answer: C

NEW QUESTION: 3
You are designing a data processing solution that will implement the lambda architecture pattern. The
solution will use Spark running on HDInsight for data processing.
You need to recommend a data storage technology for the solution.
Which two technologies should you recommend? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Azure Cosmos DB
B. Apache Cassandra
C. Azure Storage Queue
D. Azure Service Bus
E. Kafka HDInsight
Answer: A
Explanation:
Explanation/Reference:
Explanation:
To implement a lambda architecture on Azure, you can combine the following technologies to accelerate
real-time big data analytics:
Azure Cosmos DB, the industry's first globally distributed, multi-model database service.

Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics

applications
Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process

The Spark to Azure Cosmos DB Connector

E: You can use Apache Spark to stream data into or out of Apache Kafka on HDInsight using DStreams.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/lambda-architecture

NEW QUESTION: 4
Which type of rule do incident responders use to remediate an incident?
A. policy response rule
B. automated response rule
C. incident response rule
D. Smart Response rule
Answer: D

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