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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
次の各ステートメントについて、ステートメントがtrueの場合は、[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注:正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Reference:
https://azure.microsoft.com/en-gb/blog/hot-patching-sql-server-engine-in-azure-sql-database/
https://azure.microsoft.com/en-us/services/sql-database/#product-overview

NEW QUESTION: 2
Refer to the exhibit.

Employees upgraded company issued iOS devices, which are configured to authenticate to the network using WPA2-Enterprise 802.1x with LEAP. As a result, the devices are no longer able to authenticate. Which action must the engineer do to resolve the issue?
A. Reset the network settings on the devices.
B. Deploy a new configuration profile with LEAP enabled
C. Rejoin the enterprise network manually.
D. Redeploy the existing configuration profile.
E. Change LEAP certificate on the ACS server.
Answer: B

NEW QUESTION: 3
ソリューションアーキテクトが複数のAmazon EC2インスタンスに分散データベースをデプロイしているデータベースは複数のインスタンスにすべてのデータを保存しているため、インスタンスの損失に耐えることができます。ソリューションアーキテクトはソリューションを使用する必要がありますか?
A. Amazon EFS
B. Amazon EBS
C. Amazon EC2インスタンスストア
D. Amazon S3
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html
https://aws.amazon.com/ebs/?ebs-whats-new.sort-by=item.additionalFields.postDateTime&ebs-whats-new.sort-o Amazon Elastic Block Store (EBS) is an easy to use, high performance block storage service designed for use with Amazon Elastic Compute Cloud (EC2) for both throughput and transaction intensive workloads at any scale. A broad range of workloads, such as relational and non-relational databases, enterprise applications, containerized applications, big data analytics engines, file systems, and media workflows are widely deployed on Amazon EBS. You can choose from five different volume types to balance optimal price and performance.
You can achieve single digit-millisecond latency for high performance database workloads such as SAP HANA or gigabyte per second throughput for large, sequential workloads such as Hadoop. You can change volume types, tune performance, or increase volume size without disrupting your critical applications, so you have cost-effective storage when you need it.

 

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