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NEW QUESTION: 1
A customer needs to convert S-Series stacked switches to a VLT configuration to maintain port-channels from the customer's server. The customer's S-Series stack currently uses IEEE 802.1d. The customer wants to upgrade to a faster converging protocol. The servers that connect to the stack use static port-channels, but the customer wants to be IEEE 802.3ad compliant.
The customer has approved a maintenance window for the weekend to make these changes.
A network engineer has been given the following plan:
- Confirm the timings of the change window with the customer
- Upgrade the firmware of the S-Series switches
- Configure the single-domain VLT peers
- Configure the port-channels down to the customer's servers
- Utilize all existing cabling to proceed with the plan
Which two pieces of information does the engineer need to proceed? (Choose two.)
A. New 802.1s bridge priority after the cutover.Requirement of IEEE 802.1w for VLT Support.
B. Version of VLT that is required to meet IEEE 802.1s compliance.Requirement for servers to actively negotiate an IEEE 802.3ad LAG.
C. Time-out value for ARP-cache.Static mac-address assignment to ensure that all end servers are aware of the Root Bridge.
D. Requirement of IEEE 802.1w for VLT Support.Requirement for servers to actively negotiate an iEEE
802.3ad LAG.
Answer: D
NEW QUESTION: 2
You are asked to implement CoS on an EX Series switch. You attempt to configure the priority for the voice and data queue schedulers to medium-high and medium-low priority, respectively.
However, you notice that the only parameters available for the priority is strict high and low.
Why are strict high and low the only available parameters for configuration?
A. The switch only supports the strict high and low queue priorities.
B. The loss priority for the queues must first be set to medium-low and medium-high, respectively.
C. The shared buffer feature must be configured prior to configuring scheduler priority.
D. The scheduler must be applied to an interface prior to configuring scheduler priority.
Answer: A
NEW QUESTION: 3
近くの気象観測所からデータを収集します。次のデータを含むweather_dfという名前のパンダデータフレームがあります。
データは正午と深夜の12時間ごとに収集されます。
自動機械学習を使用して、今後7日間の気温を予測する時系列モデルを作成することを計画しています。トレーニングの最初のラウンドでは、最大50の異なるモデルをトレーニングする必要があります。
Azure Machine Learning SDKを使用して自動機械学習実験を実行し、これらのモデルをトレーニングする必要があります。
自動機械学習の実行を構成する必要があります。
AutoMLConfig定義をどのように完了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: forcasting
Task: The type of task to run. Values can be 'classification', 'regression', or 'forecasting' depending on the type of automated ML problem to solve.
Box 2: temperature
The training data to be used within the experiment. It should contain both training features and a label column (optionally a sample weights column).
Box 3: observation_time
time_column_name: The name of the time column. This parameter is required when forecasting to specify the datetime column in the input data used for building the time series and inferring its frequency. This setting is being deprecated. Please use forecasting_parameters instead.
Box 4: 7
"predicts temperature over the next seven days"
max_horizon: The desired maximum forecast horizon in units of time-series frequency. The default value is 1.
Units are based on the time interval of your training data, e.g., monthly, weekly that the forecaster should predict out. When task type is forecasting, this parameter is required.
Box 5: 50
"For the initial round of training, you want to train a maximum of 50 different models." Iterations: The total number of different algorithm and parameter combinations to test during an automated ML experiment.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.auto