高命中率的ARA-R01題庫平臺 -最新的ARA-R01認證新題庫已出

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Snowflake的ARA-R01的考試認證對每位IT人士來說都是非常重要的，只要得到這個認證你一定不回被職場淘汰，並且你將會被升職，加薪。有了這些現實的東西，你將得到你想要的一切，有人說，通過了Snowflake的ARA-R01的考試認證就等於走向了成功，沒錯，這是真的，你有了你想要的一切就是成功的表現之一。Fast2test的 Snowflake的ARA-R01的考題資料是你們成功的源泉，有了這個培訓資料，只會加快你們成功的步伐，讓你們成功的更有自信，也是保證讓你們成功的砝碼。

Snowflake ARA-R01 考試大綱：

主題	簡介
主題 1	Data Engineering: This section is about identifying the optimal data loading or unloading method to fulfill business requirements. Examine the primary tools within Snowflake's ecosystem and their integration with the platform.
主題 2	Accounts and Security: This section relates to creating a Snowflake account and a database strategy aligned with business needs. Users are tested for developing an architecture that satisfies data security, privacy, compliance, and governance standards.
主題 3	Performance Optimization: This section is about summarizing performance tools, recommended practices, and their ideal application scenarios, addressing performance challenges within current architectures, and resolving them.
主題 4	Snowflake Architecture: This section assesses examining the advantages and constraints of different data models, devises data-sharing strategies, and developing architectural solutions that accommodate Development Lifecycles and workload needs.

>> ARA-R01下載 <<

最新的 SnowPro Advanced: Architect ARA-R01 免費考試真題 (Q141-Q146):

問題 #141
A company has several sites in different regions from which the company wants to ingest data.
Which of the following will enable this type of data ingestion?

A. The company must have a Snowflake account in each cloud region to be able to ingest data to that account.
B. The company should use a storage integration for the external stage.
C. The company must replicate data between Snowflake accounts.
D. The company should provision a reader account to each site and ingest the data through the reader accounts.

答案：B

解題說明：
This is the correct answer because it allows the company to ingest data from different regions using a storage integration for the external stage. A storage integration is a feature that enables secure and easy access to files in external cloud storage from Snowflake. A storage integration can be used to create an external stage, which is a named location that references the files in the external storage. An external stage can be used to load data into Snowflake tables using the COPY INTO command, or to unload data from Snowflake tables using the COPY INTO LOCATION command. A storage integration can support multiple regions and cloud platforms, as long as the external storage service is compatible with Snowflake12.
References:
Snowflake Documentation: Storage Integrations
Snowflake Documentation: External Stages

問題 #142
An Architect clones a database and all of its objects, including tasks. After the cloning, the tasks stop running.
Why is this occurring?

A. The objects that the tasks reference are not fully qualified.
B. Tasks cannot be cloned.
C. The Architect has insufficient privileges to alter tasks on the cloned database.
D. Cloned tasks are suspended by default and must be manually resumed.

答案：D

解題說明：
When a database is cloned, all of its objects, including tasks, are also cloned. However, cloned tasks are suspended by default and must be manually resumed by using the ALTER TASK command. This is to prevent the cloned tasks from running unexpectedly or interfering with the original tasks. Therefore, the reason why the tasks stop running after the cloning is because they are suspended by default (Option C). Options A, B, and D are not correct because tasks can be cloned, the objects that the tasks reference are also cloned and do not need to be fully qualified, and the Architect does not need to alter the tasks on the cloned database, only resume them. References: The answer can be verified from Snowflake's official documentation on cloning and tasks available on their website. Here are some relevant links:
Cloning Objects | Snowflake Documentation
Tasks | Snowflake Documentation
ALTER TASK | Snowflake Documentation

問題 #143
The Business Intelligence team reports that when some team members run queries for their dashboards in parallel with others, the query response time is getting significantly slower What can a Snowflake Architect do to identify what is occurring and troubleshoot this issue?

A. A computer error message Description automatically generated
B. A close up of text Description automatically generated
C. A black text on a white background Description automatically generated
D. A screen shot of a computer Description automatically generated

答案：A

解題說明：
The image shows a SQL query that can be used to identify which queries are spilled to remote storage and suggests changing the warehouse parameters to address this issue. Spilling to remote storage occurs when the memory allocated to a warehouse is insufficient to process a query, and Snowflake uses disk or cloud storage as a temporary cache. This can significantly slow down the query performance and increase the cost. To troubleshoot this issue, a Snowflake Architect can run the query shown in the image to find out which queries are spilling, how much data they are spilling, and which warehouses they are using. Then, the architect can adjust the warehouse size, type, or scaling policy to provide enough memory for the queries and avoid spilling12. References:
Recognizing Disk Spilling
Managing the Kafka Connector

問題 #144
Which technique will efficiently ingest and consume semi-structured data for Snowflake data lake workloads?

A. Schema-on-write
B. Information schema
C. Schema-on-read
D. IDEF1X

答案：C

解題說明：
Option C is the correct answer because schema-on-read is a technique that allows Snowflake to ingest and consume semi-structured data without requiring a predefined schema. Snowflake supports various semi-structured data formats such as JSON, Avro, ORC, Parquet, and XML, and provides native data types (ARRAY, OBJECT, and VARIANT) for storing them. Snowflake also provides native support for querying semi-structured data using SQL and dot notation. Schema-on-read enables Snowflake to query semi-structured data at the same speed as performing relational queries while preserving theflexibility of schema-on-read.
Snowflake's near-instant elasticity rightsizes compute resources, and consumption-based pricing ensures you only pay for what you use.
Option A is incorrect because IDEF1X is a data modeling technique that defines the structure and constraints of relational data using diagrams and notations. IDEF1X is not suitable for ingesting and consuming semi-structured data, which does not have a fixed schema or structure.
Option B is incorrect because schema-on-write is a technique that requires defining a schema before loading and processing data. Schema-on-write is not efficient for ingesting and consuming semi-structured data, which may have varying or complex structures that are difficult to fit into a predefined schema. Schema-on-write also introduces additional overhead and complexity for data transformation and validation.
Option D is incorrect because information schema is a set of metadata views that provide information about the objects and privileges in a Snowflake database. Information schema is not a technique for ingesting and consuming semi-structured data, but rather a way of accessing metadata about the data.
References:
Semi-structured Data
Snowflake for Data Lake

問題 #145
An Architect uses COPY INTO with the ON_ERROR=SKIP_FILE option to bulk load CSV files into a table called TABLEA, using its table stage. One file named file5.csv fails to load. The Architect fixes the file and re-loads it to the stage with the exact same file name it had previously.
Which commands should the Architect use to load only file5.csv file from the stage? (Choose two.)

A. COPY INTO tablea FROM @%tablea MERGE = TRUE;
B. COPY INTO tablea FROM @%tablea RETURN_FAILED_ONLY = TRUE;
C. COPY INTO tablea FROM @%tablea NEW_FILES_ONLY = TRUE;
D. COPY INTO tablea FROM @%tablea FILES = ('file5.csv');
E. COPY INTO tablea FROM @%tablea FORCE = TRUE;
F. COPY INTO tablea FROM @%tablea;

答案：D,F

解題說明：
Option A (RETURN_FAILED_ONLY) will only load files that previously failed to load. Since file5.csv already exists in the stage with the same name, it will not be considered a new file and will not be loaded.
Option D (FORCE) will overwrite any existing data in the table. This is not desired as we only want to load the data from file5.csv.
Option E (NEW_FILES_ONLY) will only load files that have been added to the stage since the last COPY command. This will not work because file5.csv was already in the stage before it was fixed.
Option F (MERGE) is used to merge data from a stage into an existing table, creating new rows for any data not already present. This is not needed in this case as we simply want to load the data from file5.csv.
Therefore, the architect can use either COPY INTO tablea FROM @%tablea or COPY INTO tablea FROM
@%tablea FILES = ('file5.csv') to load only file5.csv from the stage. Both options will load the data from the specified file without overwriting any existing data or requiring additional configuration

問題 #146
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