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NEW QUESTION: 1

A. Option A
B. Option D
C. Option B
D. Option C
E. Option E
Answer: B,C

NEW QUESTION: 2
TSM's new support for z/OS provides which of the following?
A. Ability to share mainframe tape withthe open systems environment
B. Direct access to open systems tape
C. Data mobility between zOS and PASE
Answer: A
Explanation:
TSM for z/OS Media: *Leverages a customers current investment in TSM
-
Preserve stored archive (and backup) data
-
Minimize retraining by allowing continuation of existing TSM administrative tasks
-
Utilize existing TSM client software *Supports existing storage hardware used by TSM z/OS servers *Allows continued sharing of tape library resource (drives and media) under z/OS *Provides an easy migration path from z/OS server
-
avoiding time-consuming migration of data from existing storage pools
*Leverage potential strengths of z/OS and open systems
-
Exploit superior tape infrastructure and management on z/OS
-
Reduce CPU usage by TSM on z/OS
-
Lower cost of running TSM on open systems
Reference: IBM Redbook,IBM Tivoli Storage Manager for z/OS Media

NEW QUESTION: 3
着信トラフィックが発信トラフィックと同じインターフェイスを経由するように設定するにはどうすればよいですか？
A. インターフェイス間-ASAはインターフェイスでトラフィックを受信し、同じセキュリティレベルの別のインターフェイスにトラフィックをルーティングします。 （同じセキュリティトラフィックがインターフェイス間を許可します）
B. Intra-interface-anythingは、ASAがインターフェイスでトラフィックを受信し、同じインターフェイスからトラフィックをルーティングすることです（同じセキュリティトラフィックがイントラインターフェイスを許可します）
C. 上記のどれでもない
D. ABのみ
Answer: B

NEW QUESTION: 4
Your customer wants to capture multiple GBs of aggregate real-time key performance indicators (KPIs) from their game servers running on Google Cloud Platform and monitor the KPIs with low latency. How should they capture the KPIs?
A. Insert the KPIs into Cloud Datastore entities, and run ad hoc analysis and visualizations of them in Cloud Datalab.
B. Store time-series data from the game servers in Google Bigtable, and view it using Google Data Studio.
C. Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them.
D. Schedule BigQuery load jobs to ingest analytics files uploaded to Cloud Storage every ten minutes, and visualize the results in Google Data Studio.
Answer: B
Explanation:
Reference:https://cloud.google.com/solutions/data-lifecycle-cloud-platform