Associate-Developer-Apache-Spark-3.5 Exam Questions

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Full Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
Vendor Name: Databricks
Exam Code: Associate-Developer-Apache-Spark-3.5
Questions with Answers (PDF) 65
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NEW QUESTION: 1
あなたの会社はイギリス(UK)に拠点を置いています。
ユーザーは、個人を特定できる情報(PII)を含むデータを頻繁に処理します。
社内外のユーザーに適用されるデータ損失防止(DLP)ポリシーを作成します。ポリシーは、次の図に示すように構成されます。
Associate-Developer-Apache-Spark-3.5 Fragenpool
ドロップダウンメニューを使用して、図に示されている情報に示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。
注:それぞれの正しい選択には1ポイントの価値があります。
Associate-Developer-Apache-Spark-3.5 Fragenpool
Answer:
Explanation:
Associate-Developer-Apache-Spark-3.5 Fragenpool
Explanation
Associate-Developer-Apache-Spark-3.5 Fragenpool
The text in the Policy Settings section of the exhibit explains what will happen.
If a user sends between 1 and 10 instances of the sensitive info (passport number), then a notification email and will be sent to the user and a policy tip will be displayed. The email will not be blocked though. Therefore, it will be allowed.
If a user sends more than 10 instances of the sensitive info (passport number), the email will be blocked and a high-severity alert generated. However, the user can override the block.
Reference:
https://docs.microsoft.com/en-us/office365/securitycompliance/data-loss-prevention-policies

NEW QUESTION: 2
You are using SmartView Tracker to troubleshoot NAT entries. Which column do you check to view the NAT'd source port if you are using Source NAT?
Associate-Developer-Apache-Spark-3.5 Fragenpool
A. XlateSrc
B. XlateSPort
C. XlateDst
D. XlateDPort
Answer: B

NEW QUESTION: 3
HOTSPOT
company has an Active Directory Domain Services (AD DS) domain named
corp.contoso.com.
You must install Microsoft System Center Virtual Machine Manager (SCVMM) and implement distributed key management (DKM). You must follow the principle of least privilege. Keys must be stored in a container named VMMKeys.
You need to ensure that you can store the cryptographic keys in AD DS.
How should you configure the environment? To answer, select the appropriate options in the dialog box in the answer area.
Associate-Developer-Apache-Spark-3.5 Fragenpool
Answer:
Explanation:
Associate-Developer-Apache-Spark-3.5 Fragenpool
Explanation:
Associate-Developer-Apache-Spark-3.5 Fragenpool
References:
https://technet.microsoft.com/en-us/library/gg697604(v=sc.12).aspx

NEW QUESTION: 4
회사는 스트리밍 시장 데이터를 처리하고 처리합니다. 데이터 속도는 일정합니다. 집계 통계를 계산하는 야간 프로세스가 실행되고 각 실행은 완료하는데 약 4 시간이 걸립니다. 통계 분석은 업무상 중요한 업무가 아니며 특정 실행에 실패하면 다음 실행시 이전 데이터 포인트가 선택됩니다.
현재 아키텍처는 Amazon EC2 예약 인스턴스 풀을 사용하여 풀 타임으로 1 년 예약을 실행하여 연결된 Amazon EBS 볼륨에 스트리밍 데이터를 수집하고 저장합니다. 주문형 EC2 인스턴스는 야간 처리를 수행하고, 처리 서버의 NFS 공유에서 저장된 데이터에 액세스하고, 완료되면 야간 처리 서버를 종료하기 위해 매일 밤 실행됩니다. 예약 인스턴스 예약은 만료되며 회사는 새로운 예약을 구매할지 또는 새로운 디자인을 구현할지 결정해야 합니다.
가장 비용 효율적인 디자인은 무엇입니까?
A. 3 년리스의 네트워크로드 밸런서 뒤에있는 EC2 예약 인스턴스를 사용하도록 처리 프로세스를 업데이트합니다. 야간 처리를 위해 On-Demand 가격의 최대 입찰가가 50 % 인 Spot 인스턴스와 함께 배치를 사용하십시오.
B. Amazon Kinesis Data Firehose를 사용하여 Amazon Redshift에 데이터를 저장하도록 처리 프로세스를 업데이트합니다.
Amazon CloudWatch Events로 야간에 실행하도록 예약 된 AWS Lambda 기능을 사용하여 Amazon Redshift를 쿼리하여 일별 통계를 생성하십시오.
C. Amazon Kinesis Data Firehouse를 사용하여 Amazon S3에 데이터를 저장하도록 처리 프로세스를 업데이트합니다.
AWS Batch를 사용하여 On-Demand 가격의 50 %의 Spot market bid로 야간 처리를 수행하십시오.
D. Amazon Kinesis Data Firehose를 사용하여 Amazon S3에 데이터를 저장하도록 처리 프로세스를 업데이트합니다.
매일 밤 S3 데이터의 일괄 처리를 수행하고 처리가 완료되면 종료되는 On-Demand EC2 인스턴스를 사용하십시오.
Answer: B

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