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  • Exam Number/Code : Associate-Developer-Apache-Spark-3.5
  • Exam Name : Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • Questions and Answers : 260 Q&As
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NEW QUESTION: 1

A. Option A
B. Option D
C. Option B
D. Option C
Answer: A

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 Pending:Wait state. Create an Amazon CloudWatch Alarm for EC2 Instance Terminate Successful and trigger an AWS Lambda function that executes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.
B. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch Events rule for EC2 'Instance-terminate Lifecycle Action and trigger an AWS Lambda function that executes a SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.
C. Use Auto Scaling lifecycle hooks to put instances in a Terminating: Wait state. Create an Amazon CloudWatch subscription filter for EC2 Instance Terminate Successful and trigger a CloudWatch agent that executes a script to called logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.
D. Use Auto Scaling lifecycle hooks to put instances in a Terminating: Wait state. Create a Config rule for EC2 Instance-terminate Lifecycle Action 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.
Answer: D

NEW QUESTION: 3
新しいデータ拡張名の注文には、各顧客の注文に対して1行が記録される注文データが含まれます。顧客は複数の注文を行うことができます。注文データ拡張は他のデータ拡張に関連し、次のフィールドを含みます。
A. 指示:顧客納品書を含むオプションの英数字の文字列
B. 注文日:注文のシステム日時
C. 注文番号:一意の英数字の注文番号、
D. 顧客ID:数値の顧客識別番号、
Answer: A

 

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2025 New Associate-Developer-Apache-Spark-3.5 Exam Cram - Associate-Developer-Apache-Spark-3.5 Latest Braindumps Ebook, Simulated Databricks Certified Associate Developer for Apache Spark 3.5 - Python Test - Cads-Group


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