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NEW QUESTION: 1
Your table contains the "sales_date" and "sales-time" fields both fields are data type archer (20). The "sales_date" format is 21-jan- 1980'. The "sales_time" format is '18-30-12'. You need to combine both fields and load the results into a single Target field of the data time data type. Which expression must you use to perform the conversion?
A. to_data(sales_date&' '& sales_time.'dd_mmmm-yyyy hh24:mi:ss')
B. to_data(sales_datell' 'll sales_time.'dd_mon-yyyy hh24:mi:ss')
C. to_data(sales_date &' '& sales_time.'dd_mon-yyyy hh24:mi:ss')
D. to_data(sales_datell' 'll sales_time.'dd_mmm-yyyy hh24:mi:ss')
Answer: B
NEW QUESTION: 2
-- Exhibit --
[edit]
user@switch# commit
error: Trunk interface <ge-0/0/10.0> can not be member of both dot1q-tunneling enabled vlan <cust-1>, and a non dot1q-tunneled vlan <v11> when dot1q-tunneling ethernet-type is not <0x8100> error: configuration check-out failed
-- Exhibit --
Click the Exhibit button.
When you try to commit your 802.1Q tunneling configuration, you receive the error shown in the exhibit.
Which configuration statement will allow the configuration to commit?
A. set vlans v11 dot1q-tunneling customer-vlans native
B. set ethernet-switching-options dot1q-tunneling ether-type 0x8100
C. set interfaces ge-0/0/10 ether-options mdi-mode auto
D. set vlans cust-1 interface ge-0/0/10 egress
Answer: B
NEW QUESTION: 3
How should an Administrator BEST architect a large multi-layer Long Short-Term Memory (LSTM) recurrent neural network (RNN) running with MXNET on Amazon EC2? (Choose two.)
A. Use data parallelism to partition the workload over multiple devices and balance the workload within the GPUs.
B. Use compute-optimized EC2 instances with an attached elastic GPU.
C. Use general purpose GPU computing instances such as G3 and P3.
D. Use processing parallelism to partition the workload over multiple storage devices and balance the workload within the GPUs.
Answer: A,C
Explanation:
Explanation
https://aws.amazon.com/blogs/machine-learning/parallelizing-across-multiple-cpu-gpus-to-speed-up-deep-learni
NEW QUESTION: 4
HOTSPOT
Answer:
Explanation: