Databricks Associate-Developer-Apache-Spark-3.5 Q&A - in .pdf

  • Associate-Developer-Apache-Spark-3.5 pdf
  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
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  • Q & A: 365 Questions and Answers
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NEW QUESTION: 1
Virtual Volumes virtualize-Storage Area Network and Network Attached Storage devices into logical pools of capacity.
What are these pools of capacity known as?
A. NFS
B. VMFS Datastores
C. Virtual SAN Datastores
D. iSCSI
Answer: C

NEW QUESTION: 2
内部監査人は、投資に関連する内部統制を強化するための経営陣への提言を含む報告書を提出しました。フォローアップするために、内部監査人が取るべき最も適切な行動は次のうちどれですか?
A. 適切なテストを実施して、管理者の対応を確認します。
B. 管理保証宣言を求めます。
C. 次に予定されている監査中にフォローアップします。
D. 是正措置を遵守してください。
Answer: A

NEW QUESTION: 3
You are designing an Azure application that stores data.
You have the following requirements:
* The data storage system must support storing more than 500 GB of data.
* Data retrieval must be possible from a large number of parallel threads.
* Threads must not block each other.
You need to recommend an approach for storing data.
What should you recommend?
A. Azure Queue storage
B. Azure Notification Hubs
C. A single SQL database in Azure
D. Azure Table storage
Answer: D
Explanation:
* Azure Table Storage can be useful for applications that must store large amounts of nonrelational data, and need additional structure for that data. Tables offer key-based access to unschematized data at a low cost for applications with simplified data-access patterns. While Azure Table Storage stores structured data without schemas, it does not provide any way to represent relationships between the data.
* As a solution architect/developer, consider using Azure Table Storage when:
/ Your application stores and retrieves large data sets and does not have complex relationships that require server-side joins, secondary indexes, or complex server-side logic.
/ You need to achieve a high level of scaling without having to manually shard your dataset.
Reference: https://msdn.microsoft.com/en-us/library/azure/jj553018.aspx

NEW QUESTION: 4
Real-time Monitoring supports two kinds of views: stateful and stateless. Which three statements are true? (Choose three.)
A. One row of a stateful view is derived from multiple rows of the underlying stream which is not a case for stateless view.
B. A stateful view may have set functions while a stateless view may not.
C. A stateless view may have a "group by" column selected while a stateful view may not.
D. A snapshot of stateful view may contain multiple rows while a stateless view may not.
E. A stateful view may have a "group by" column selectedwhile a stateless view may not.
Answer: A,B,E

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