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  • Exam Number/Code : Associate-Developer-Apache-Spark-3.5
  • Exam Name : Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • Questions and Answers : 260 Q&As
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NEW QUESTION: 1
DRAG DROP
Drag the rule on the left to match the appropriate activity on the right.

Answer:
Explanation:


NEW QUESTION: 2
Windows Server 2016を実行するServer1という名前のオンプレミスファイルサーバーがあります。
Azureファイル共有を含むAzureサブスクリプションがあります。
Azure File Sync Storage Sync Serviceをデプロイし、同期グループを作成します。
Server1からAzureにファイルを同期する必要があります。
順番に実行する必要がある3つのアクションはどれですか?回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation:
Step 1: Install the Azure File Sync agent on Server1
The Azure File Sync agent is a downloadable package that enables Windows Server to be synced with an Azure file share Step 2: Register Server1.
Register Windows Server with Storage Sync Service
Registering your Windows Server with a Storage Sync Service establishes a trust relationship between your server (or cluster) and the Storage Sync Service.
Step 3: Add a server endpoint
Create a sync group and a cloud endpoint.
A sync group defines the sync topology for a set of files. Endpoints within a sync group are kept in sync with each other. A sync group must contain one cloud endpoint, which represents an Azure file share and one or more server endpoints. A server endpoint represents a path on registered server.
References:
https://docs.microsoft.com/en-us/azure/storage/files/storage-sync-files-deployment-guide

NEW QUESTION: 3
Which three options are true about MVIEWs?
A. Queries that are rewritten to an MVIEW will never obtain results from the result cache.
B. The defining query of an MVIEW may be based on non_partitioned table.
C. The defining query of an MVIEWs may be based on a populated table.
D. All MVIEWS may beconfigured to support "refreshon demand".
E. All MVIEWs may be configured to support "refresh on commit"
Answer: A,C,D
Explanation:
A:The defining query of a materialized view can select from tables, views, or
materialized views owned by the user SYS, but you cannot enable QUERY REWRITE on
such a materialized view.
B:You cannot specify the following CREATE MATERIALIZED VIEW clauses: CACHE or
NOCACHE, CLUSTER, or ON PREBUILT TABLE.
C:Specify ON DEMAND to indicate that the materialized view will be refreshed on demand
by calling one of the three DBMS_MVIEW refresh procedures. If you omit
both ON COMMIT and ON DEMAND, ON DEMAND is the default.
Incorrect:
E:Materialized views can only refresh ON COMMIT in certain situations.
The materialized view cannot contain object types or Oracle-supplied types.
The base tables will never have any distributed transactions applied to them.
Note:
*Oracle uses materialized views (also known as snapshots in prior releases) to replicate
data to non-master sites in a replication environment and to cache expensive queries in a
data warehouse environment.
*A materialized view is a replica of a target master from a single point in time. The master
can be either a master table at a master site or a master materialized view at a materialized
view site. Whereas in multimaster replication tables are continuously updated by other
master sites, materialized views are updated from one or more masters through individual
batch updates, known as a refreshes, from a single master site or master materialized view
site.

 

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