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WGU Cloud Deployment and Operations
- Exam Number/Code : Cloud-Deployment-and-Operations
- Exam Name : WGU Cloud Deployment and Operations
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
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NEW QUESTION: 1
이 표는 예상 투자 수익률 (ROI) 및 식별 된 프로젝트 위험과 함께 애자일 프로젝트에 대한 요구 사항을 분석 세부 정보와 함께 보여줍니다.
제품 백 로그에서 우선 순위는 무엇입니까?
A. 위험 3, 위험 1, 위험 2, 요구 사항, 요구 사항 1. 요구 사항 2
B. 요구 사항 3, 위험 3, 요구 사항 1, 요구 사항 2, 위험 2
C. 요구 사항, 요구 사항 1, 요구 사항 2
D. 요구 사항 3. 요구 사항 1, 위험 3, 요구 사항 2, 위험 1, 위험 2
Answer: D
NEW QUESTION: 2
The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?
A. Append metadata to file body.
Compress individual files.
Name files with serverName-Timestamp.
Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket.
Otherwise, save files to existing bucket
B. Batch every 10,000 events with a single manifest file for metadata.
Compress event files and manifest file into a single archive file.
Name files using serverName-EventSequence.
Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket. Otherwise, save the single archive file to existing bucket.
C. Compress individual files.
Name files with serverName-EventSequence.
Save files to one bucket
Set custom metadata headers for each object after saving.
D. Append metadata to file body.
Compress individual files.
Name files with a random prefix pattern.
Save files to one bucket
Answer: D
Explanation:
https://cloud.google.com/storage/docs/request-rate
Use a naming convention that distributes load evenly across key ranges
Auto-scaling of an index range can be slowed when using sequential names, such as object keys based on a sequence of numbers or timestamp. This occurs because requests are constantly shifting to a new index range, making redistributing the load harder and less effective.
In order to maintain a high request rate, avoid using sequential names. Using completely random object names will give you the best load distribution.
NEW QUESTION: 3
Which condition is supported in IBM Tivoli Composite Application Manager (ITCAM) for SOA?
A. It can monitor and manage the messaging backbone using Tuxedo.
B. It can monitor DataPower appliance multi-protocol gateway.
C. It can monitor and manage JSP to EJ B service calls.
D. It can monitor any services call.
Answer: D
NEW QUESTION: 4
A. Option G
B. Option B
C. Option K
D. Option E
E. Option D
F. Option C
G. Option A
H. Option H
I. Option I
J. Option F
K. Option J
Answer: F
Explanation:
Metrics collected for each virtual machine using resource metering: Average CPU usage, measured in megahertz over a period of time. Average physical memory usage, measured in megabytes. Minimum memory usage (lowest amount of physical memory). Maximum memory usage (highest amount of physical memory). Maximum amount of disk space allocated to a virtual machine. Total incoming network traffic, measured in megabytes, for a virtual network adapter. Total outgoing network traffic, measured in megabytes, for a virtual network adapter
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References: http://blogs.technet.com/b/meamcs/archive/2012/05/28/hyper-v-resource-metering-inwindows-server-2012-server-8-beta.aspx