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NEW QUESTION: 1
A. IBM FlashSystem 900
B. IBM FlashSystem A9000R
C. IBM Storwize V5010
D. IBM Spectrum Scale
Answer: B
NEW QUESTION: 2
CORRECT TEXT
Answer:
Explanation:
The configuration:
Step1: Console to ASW1 from PC console 1
ASW1(config)#aaa new-model
ASW1(config)#radius-server host 172.120.39.46 key rad123
ASW1(config)#aaa authentication dot1x default group radius
ASW1(config)#dot1x system-auth-control
ASW1(config)#inter fastEthernet 0/1
ASW1(config-if)#switchport mode access
ASW1(config-if)#dot1x port-control auto
ASW1(config-if)#exit
ASW1#copy run start
Step2: Console to DSW1 from PC console 2
DSW1(config)#ip access-list standard 10
DSW1(config-ext-nacl)#permit 172.120.40.0 0.0.0.255
DSW1(config-ext-nacl)#exit
DSW1(config)#vlan access-map PASS 10
DSW1(config-access-map)#match ip address 10
DSW1(config-access-map)#action forward
DSW1(config-access-map)#exit
DSW1(config)#vlan access-map PASS 20
DSW1(config-access-map)#action drop
DSW1(config-access-map)#exit
DSW1(config)#vlan filter PASS vlan-list 20
DSW1#copy run start
NEW QUESTION: 3
To run a TensorFlow training job on your own computer using Cloud Machine Learning Engine, what would your command start with?
A. You can't run a TensorFlow program on your own computer using Cloud ML Engine .
B. gcloud ml-engine jobs submit training
C. gcloud ml-engine local train
D. gcloud ml-engine jobs submit training local
Answer: C
Explanation:
gcloud ml-engine local train - run a Cloud ML Engine training job locally This command runs the specified module in an environment similar to that of a live Cloud ML Engine Training Job.
This is especially useful in the case of testing distributed models, as it allows you to validate that you are properly interacting with the Cloud ML Engine cluster configuration.
Reference: https://cloud.google.com/sdk/gcloud/reference/ml-engine/local/train