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NEW QUESTION: 1
Given the IP address of 209.168.200.155/27, which two options are the subnet that this IP address belongs to and the subnet broadcast IP address? (Choose two.)
A. 209.168.200.64 255.255.255.224
B. 209.168.200.159
C. 209.168.200.128 255.255.255.224
D. 209.168.200.95
E. 209.168.200.96 255.255.255.224
F. 209.168.200.127
Answer: B,C
Explanation:
Explanation/Reference:
appropriate answer.

NEW QUESTION: 2
The command nco_store_resize -newhardlimit 500mb changes which hard limit to 500MB?
A. the memory footprint of any OMNIbus process
B. the amount of memory available to probe buffering
C. the memstoreoftheNCOMS ObjectServer
D. the amount of disk space available for the IBM Tivoli Netcool/OMNIbus installation
Answer: C

NEW QUESTION: 3
How can you analyze a performance issue in the execution of an SQL statement using the SQL Console?
Note: There are 2 correct answers to this question.
A. Use EXPLAIN PLAN in the SQL statement and query the EXPLAIN_PLAN_TABLE.
B. Use the Explain Plan command from the right-click menu in the SQL Console.
C. Use the Prepare Statement command from the right-click menu in the SQL Console.
D. Query the table "SYS"."CACHE_P_QUERIES_"' after the execution of the SQL statement.
Answer: A,B

NEW QUESTION: 4
Your customer runs a web service used by e-commerce sites to offer product recommendations to users. the company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.
What should the customer do to improve their model's results over time?
A. Save a history of recommendations and results of the recommendations in BigQuery, to be used as training data.
B. Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the model to them as soon as they are available for additional performance.
C. Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used to analyze the efficiency of the model.
D. Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which offer better results.
Answer: A
Explanation:
BigQuery need data to be applied in AI.