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NEW QUESTION: 1
A. EGW_SAVE_EMAIL_HEADERS
B. EGW_ENABLED
C. EGW_SECURE_UPDATE_ENABLED
D. EGW_UPDATE_BY_CREATE
E. EGW_AUTO_CONT_CREATE
Answer: D,E
NEW QUESTION: 2
次のうち、受注処理の出荷ステップの一部はどれですか？
この質問には4つの正解があります。
応答：
A. 可用性チェック
B. パッキン
C. 出荷伝票の登録
D. ピッキング
E. 出庫の転記
Answer: B,C,D,E
NEW QUESTION: 3
What four Cloud Configuration Management challenges can Oracle Enterprise manager help you to
monitor, track, and manage?
A. Drift from predefined service templates
B. Keeping within compliance, rules, and standards
C. Rogue multi-tenant memory attachment
D. Virtual server sprawl
E. Monitoring of SQLNET in Public Clouds
F. Dynamic topology changes
Answer: A,B,D,F
Explanation:
Explanation/Reference:
A:
* Configuration Management tailored for challenges in Cloud environment
Challenge: Virtual server sprawl
Feature: Inventory tracking, ongoing discovery
* Drive asset utilization up by up to 70%. Eliminate Virtual Machine (VM) sprawl. Cut configuration
management effort by 90%. Reduce provisioning effort by 75%.
Oracle Enterprise Manager provides an integrated and cost-effective solution for complete physical and
virtual server lifecycle management.
B: Configuration Management tailored for challenges in Cloud environment
Challenge: Dynamic topology changes (owing to elasticity)
Feature: Topology mapping, dependency tracking
D: Oracle Enterprise Manager Compliance Management solution provides out-of-the-box compliance
frameworks (for example, PCI and CIS) and compliance standards to map to Compliance Standard rules.
This mapping enables you to visualize how noncompliant settings and actions will affect any compliance
framework that an organization follows.
E:
* Configuration Management tailored for challenges in Cloud environment
Challenge: Drifts from pre-defined Service
Feature: Configuration Baseline, Drift Tracking
ventory tracking, Topology mapping, dependencyConfiguration Baselines, Drift
* Oracle Enterprise Manager Configuration Management eliminates manual and time-consuming task
related to Discovery, Deployment of Management agents, Inventory Tracking, Configuration Drift, Detailed
Configuration Search and Compliance Management for reporting and management of industry and
regulatory compliance standards.
NEW QUESTION: 4
데이터 엔지니어는 비즈니스 내의 여러 Amazon Redshift 클러스터에서 데이터를 수집하고 데이터를 단일 중앙 데이터웨어 하우스로 통합해야합니다. 데이터는 휴식 또는 비행 중에 항상 암호화되어야 합니다.
이 데이터 수집 프로세스를 구축하는 가장 확장 가능한 방법은 무엇입니까?
A. AWS KMS 데이터 키를 사용하여 데이터를 암호화되지 않은 S3 버킷에 저장하는 UNLOAD ENCRYPTED 명령을 실행합니다. COPY 명령을 실행하여 데이터를 대상 클러스터로 이동하십시오.
B. SSL 클라이언트 연결을 통해 원본 클러스터에 연결하고 Amazon Kinesis Firehose에 데이터 레코드를 작성하여 대상 데이터웨어 하우스에 로드합니다.
C. AWS KMS 데이터 키로 암호화 된 S3 버킷에 데이터를 저장하는 UNLOAD 명령을 실행합니다. COPY 명령을 실행하여 데이터를 대상 클러스터로 이동하십시오.
D. SSL을 사용하여 소스 클러스터에 연결하는 ETL 프로세스를 실행하여 새 데이터에 대한 SELECT 쿼리를 실행 한 다음 다른 SSL 보안 연결을 통해 INSERT 명령을 사용하여 대상 데이터웨어 하우스에 작성합니다.
Answer: A
Explanation:
The most scalable solutions are the UNLOAD/COPY solutions because they will work in parallel, which eliminates A and D as answers. Option C is incorrect because the data would not be encrypted in flight, and you cannot encrypt an entire bucket with a KMS key. Option B meets the encryption requirements, the UNLOAD ENCRYPTED command automatically stores the data encrypted using-client side encryption and uses HTTPS to encrypt the data during the transfer to S3.