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NEW QUESTION: 1
次の役割のうち、組織の情報の保護について最終的に責任があるのはどれですか？
A. 最高情報セキュリティ責任者（CISO）
B. 最高情報責任者（CIO）
C. データ所有者
D. 取締役会
Answer: D
NEW QUESTION: 2
Which Cisco ASA feature is implemented by the ip verify reverse-path interface interface_name command?
A. botnet traffic filter
B. uRPF
C. scanning threat detection
D. TCP intercept
E. IPS (IP audit)
Answer: B
Explanation:
There is only strict uRPF in ASA (source network must be routable via input interface).
There is no default option in ASA implementation.
NEW QUESTION: 3
Which of the following statements about BGP are true? (Multiple Choice)
A. BGP sends only updated routing information, thereby saving a large amount of bandwidth resources.
B. BGP calculates and discovers the optimal route.
C. BGP uses TCP as the transport layer protocol with a port number of 179.
D. BGP stability is ensured by the high reliability of TCP, not by its own mechanism.
Answer: B
NEW QUESTION: 4
注：この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。 一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このシナリオで質問に答えた後、その質問に戻ることはできません。 その結果、これらの質問はレビュー画面に表示されません。
階層構造を持つAzure Databricksワークスペースを作成する予定です。 ワークスペースには、次の3つのワークロードが含まれます。
* A workload for data engineers who will use Python and SQL
* A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL
* A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
* The data engineers must share a cluster.
* The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
* All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation
We need a High Concurrency cluster for the data engineers and the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language:
Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html