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NEW QUESTION: 1
Which two are characteristics of HSSI cables? (Choose two.)
A. HSSI cables use a female, 10-pin, SCSI-II-type connector.
B. The CAB-HNUL is used to connect your router to an external DSU.
C. HSSI cables use cable CAB-HSI1 and cable CAB-HNUL.
D. The HSSI connector and the HSSI cable are identical.
E. The HSSI connector and the HSSI cable are similar.
Answer: C,E
NEW QUESTION: 2
What is the difference between the relationships between A and B in diagram (i) and diagram (ii) in the exhibit?
A. (i) is only permitted if (ii) is also defined
B. (ii) implies (i)
C. (i) applies to all instances of B, while (ii) does not
D. (i) applies to all instances of A, while (ii) does not
Answer: B
NEW QUESTION: 3
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?
A. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
B. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
C. Container Engine, Cloud Pub/Sub, and Cloud SQL
D. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
E. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
Answer: E
Explanation:
A real time requires Stream / Messaging so Pub/Sub, Analytics by Big Query.
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
Requirements for Game Analytics Platform
* Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow SQL queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Use only fully managed services
References:
https://cloud.google.com/solutions/big-data/stream-analytics/