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NEW QUESTION: 1
Core（SQL）APIを使用するAzure CosmosDBアカウントがあります。
コンテナレベルで構成できる2つの設定はどれですか？それぞれの正解は完全な解決策を提示します。 （2つ選択してください。）注：正しい選択はそれぞれ1ポイントの価値があります。
A. 読み取り領域
B. スループット
C. パーティションキー
D. API
Answer: B,C
Explanation:
Reference:
https://www.sqlshack.com/start-your-journey-with-azure-cosmos-db/
NEW QUESTION: 2
`learning on Network-based Cisco Advanced Malware Protection?
A. Spero engine
B. hashing
C. dynamic analysis
D. custom file detection
Answer: C
NEW QUESTION: 3
Click the Exhibit button.
You have been asked to recommend a design and configuration for an HP OSPF multi-area network. You have been asked to configure Area 1 so that the routing table and LSDB on R3 are kept as small as possible, while still supporting OSPF. R3 will not be required to redistribute any routes into OSPF. Based on these requirements, what is the best configuration in Area 1 on both R1 and R3?
A. [R1] ospf 1 area 1 network 10.1.1.1 0.0.0.0 stub [R3] ospf 1 area 1 network 10.1.1.2 0.0.0.0 stub
B. [R1] ospf 1 area 1 network 10.1.1.1 0.0.0.0 stub no-summary [R3] ospf 1 area 1 network 10.1.1.2 0.0.0.0 stub
C. [R1] ospf 1 area 1 network 10.1.1.1 0.0.0.0 nssa no-summary [R3] ospf 1 area 1 network 10.1.1.2 0.0.0.0 nssa
D. [R1] ospf 1 area 1 network 10.1.1.1 0.0.0.0 stub no-summary [R3] ospf 1 area 1 network 10.1.1.2 0.0.0.0 stub no-summary
Answer: B
NEW QUESTION: 4
You use the following code to run a script as an experiment in Azure Machine Learning:
You must identify the output files that are generated by the experiment run.
You need to add code to retrieve the output file names.
Which code segment should you add to the script?
A. files = run.get_details_with_logs()
B. files = run.get_properties()
C. files = run.get_metrics()
D. files= run.get_file_names()
E. files = run.get_details()
Answer: D
Explanation:
Explanation
You can list all of the files that are associated with this run record by called run.get_file_names() Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-track-experiments