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試験の準備方法-素晴らしいADA-C01復習時間試験-信頼的なADA-C01無料問題
さらに、ShikenPASS ADA-C01ダンプの一部が現在無料で提供されています:https://drive.google.com/open?id=1qqcfentZHfec2pjuCbO5CLAZGBTuv6uI
Snowflakeは、短時間でADA-C01認定を取得するために最善を尽くす必要があります。 認定資格を取得することが決まっている場合、ADA-C01質問トレントは喜んであなたに手を差し伸べます。 弊社のADA-C01学習教材は、認定を取得するための最適な学習ツールになるためです。 ここで、ADA-C01試験問題を詳細に紹介します。紹介を注意深くお読みください。多くのメリットを得ることができます。 ADA-C01試験の資料に興味がある場合は、今すぐ購入できます。
目の前の本当の困難に挑戦するために、君のもっと質の良いSnowflakeのADA-C01問題集を提供するために、私たちはShikenPASSのITエリートチームの変動からSnowflakeのADA-C01問題集の更新まで、完璧になるまでにずっと頑張ります。私たちはあなたが簡単にSnowflakeのADA-C01認定試験に合格するができるという目標のために努力しています。あなたはうちのSnowflakeのADA-C01問題集を購入する前に、一部分のフリーな試験問題と解答をダンロードして、試用してみることができます。
ADA-C01無料問題 & ADA-C01参考書内容
弊社ShikenPASSのADA-C01練習資料は、さまざまな学位の受験者に適しています。これらの受験者は、この分野の知識のレベルに関係ありません。これらのADA-C01トレーニング資料は当社にとって名誉あるものであり、お客様の目標達成を支援するための最大限の特権として扱っています。私たちの知る限り、ADA-C01試験準備は何百万人もの受験者に夢を追いかけ、より効率的に学習するように動機付けました。 ADA-C01の練習資料は、あなたを失望させません。
Snowflake ADA-C01 認定試験の出題範囲:
トピック
出題範囲
トピック 1
- Set up and manage network and private connectivity
- Given a scenario, manage Snowflake Time Travel and Fail-safe
トピック 2
- Manage and implement data sharing
- Given a set of business requirements, establish access control architecture
トピック 3
- Given a scenario, create and manage access control
- Given a scenario, implement resource monitors
トピック 4
- Given a scenario, configure access controls
- Set up and manage security administration and authorization
トピック 5
- Interpret and make recommendations for data clustering
- Manage DML locking and concurrency in Snowflake
トピック 6
- Implement and manage data governance in Snowflake
- Data Sharing, Data Exchange, and Snowflake Marketplace
トピック 7
- Given a scenario, manage databases, tables, and views
- Manage organizations and access control
Snowflake SnowPro Advanced Administrator 認定 ADA-C01 試験問題 (Q62-Q67):
質問 # 62
An Administrator loads data into a staging table every day. Once loaded, users from several different departments perform transformations on the data and load it into different production tables.
How should the staging table be created and used to MINIMIZE storage costs and MAXIMIZE performance?
- A. Create it as a permanent table with a retention time of 0 days.
- B. Create it as an external table, which will not incur Time Travel costs.
- C. Create it as a temporary table with a retention time of 0 days.
- D. Create it as a transient table with a retention time of 0 days.
正解:D
解説:
Explanation
According to the Snowflake documentation1, a transient table is a type of table that does not support Time Travel or Fail-safe, which means that it does not incur any storage costs for maintaining historical versions of the data or backups for disaster recovery. A transient table can be dropped at any time, and the data is not recoverable. A transient table can also have a retention time of 0 days, which means that the data is deleted immediately after the table is dropped or truncated. Therefore, creating the staging table as a transient table with a retention time of 0 days can minimize the storage costs and maximize the performance, as the data is only loaded and transformed once, and then deleted after the production tables are populated. Option A is incorrect because creating the staging table as an external table, which references data files stored in a cloud storage location, can incur additional costs and complexity for data transfer and synchronization, and may not provide the best performance for data loading and transformation. Option C is incorrect because creating the staging table as a temporary table, which is automatically dropped when the session ends or the user logs out, can cause data loss or inconsistency if the session is interrupted or terminated before the production tables are populated. Option D is incorrect because creating the staging table as a permanent table, which supports Time Travel and Fail-safe, can incur additional storage costs for maintaining historical versions of the data and backups for disaster recovery, and may not provide the best performance for data loading and transformation.
質問 # 63
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Select TWO).
- A. Renaming a table
- B. Adding region availability to the listing
- C. Dropping a column from a table
- D. Deleting data from a table
- E. Unpublishing the data listing
正解:A、C
解説:
Explanation
According to the Snowflake documentation1, breaking changes are changes that affect the schema or structure of the shared data, such as dropping or renaming a column or a table. These changes may cause errors or unexpected results for the consumers who query the shared data. Deleting data from a table, unpublishing the data listing, or adding region availability to the listing are not breaking changes, as they do not alter the schema or structure of the shared data.
1: Managing Data Listings in Snowflake Data Marketplace | Snowflake Documentation
質問 # 64
What are benefits of creating and maintaining resource monitors in Snowflake? (Select THREE).
- A. Resource monitor governance is tightly controlled and monitors can only be created by the ACCOUNTADMIN role or users with the CREATE MONITOR privilege.
- B. The cost of running a resource monitor is only 10% of a credit, per day of operation.
- C. Multiple resource monitors can be applied to a single virtual warehouse.
- D. Resource monitors can be applied to more than one virtual warehouse.
- E. Multiple triggers can be configured across various virtual warehouse thresholds.
- F. Resource monitors add no additional load to virtual warehouse compute.
正解:D、E、F
解説:
According to the Snowflake documentation1, resource monitors are a feature that helps you manage and control Snowflake costs by monitoring and setting limits on your compute resources. Resource monitors do not consume any credits or add any load to the virtual warehouses they monitor1. Resource monitors can also have multiple triggers that specify different actions (such as suspending or notifying) when certain percentages of the credit quota are reached2. Resource monitors can be applied to either the entire account or a specific set of individual warehouses1. The other options are not benefits of resource monitors. The cost of running a resource monitor is negligible, not 10% of a credit3. Multiple resource monitors cannot be applied to a single virtual warehouse; only one resource monitor can be assigned to a warehouse at a time2. Resource monitor governance is not tightly controlled; account administrators can enable users with other roles to view and modify resource monitors using SQL2.
質問 # 65
A company has many users in the role ANALYST who routinely query Snowflake through a reporting tool.
The Administrator has noticed that the ANALYST users keep two
small clusters busy all of the time, and occasionally they need three or four clusters of that size.
Based on this scenario, how should the Administrator set up a virtual warehouse to MOST efficiently support this group of users?
- A. Create a standard X-Large warehouse, which is equivalent to four small clusters. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role.
- B. Create a multi-cluster warehouse with MIN_CLUSTERS set to 2. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role. Allow the warehouse to auto-scale.
- C. Create a multi-cluster warehouse with MIN_CLUSTERS set to 1. Give MANAGE privileges to the ANALYST role so this group can start and stop the warehouse, and increase the number of clusters as needed.
- D. Create four virtual warehouses (sized Small through XL) and set them to auto-suspend andauto-resume.
Have users in the ANALYST role select the appropriate warehouse based on how many queries are being run.
正解:B
解説:
Explanation
According to the Snowflake documentation1, a multi-cluster warehouse is a virtual warehouse that consists of multiple clusters of compute resources that can scale up or down automatically to handle the concurrency and performance needs of the queries submitted to the warehouse. A multi-cluster warehouse has a minimum and maximum number of clusters that can be specified by the administrator. Option B is the most efficient way to support the group of users, as it allows the administrator to create a multi-cluster warehouse with MIN_CLUSTERS set to 2, which means that the warehouse will always have two clusters running to handle the standard workload. The warehouse can also auto-scale up to the maximum number of clusters (which can be set according to the peak workload) when there is a spike in demand, and then scale down when the demand decreases. The warehouse can also auto-resume and auto-suspend, which means that the warehouse will automatically start when a query is submitted and automatically stop after a period of inactivity. The administrator can also give USAGE privileges to the ANALYST role, which means that the users can use the warehouse to execute queries and load data, but not modify or operate the warehouse. Option A is not efficient, as it requires the users to manually start and stop the warehouse, and increase the number of clusters as needed, which can be time-consuming and error-prone. Option C is not efficient, as it creates a standard X-Large warehouse, which is equivalent to four small clusters, which may be more than needed for the standard workload, and may not be enough for the peak workload. Option D is not efficient, as it creates four virtual warehouses of different sizes, which can be confusing and cumbersome for the users to select the appropriate warehouse based on how many queries are being run, and may also result in wasted resources and costs.
質問 # 66
The following commands were executed:
Grant usage on database PROD to role PROD_ANALYST;
Grant usage on database PROD to role PROD_SUPERVISOR;
Grant ALL PRIVILEGES on schema PROD. WORKING to role PROD_ANALYST;
Grant ALL PRIVILEGES on schema PROD. WORKING to role PROD_SUPERVISOR;
Grant role PROD ANALYST to user A;
Grant role PROD SUPERVISOR to user B;
What authority does each user have on the WORKING schema?
- A. All existing tables in schema PROD. WORKING will be visible to both users.
- B. Only user B can create tables, because all privileges were transferred to PROD_SUPERVISOR.
- C. Both user A and user B can create tables in the PROD. WORKING schema.
- D. Tables created by either user A or user B will be visible to both users.
正解:C
質問 # 67
......
最も短い時間で自分のIT技能を増強したいけれど、質の良い学習教材がないので悩んでいますか。ご心配なく、ShikenPASSのSnowflakeのADA-C01試験トレーニング資料を手に入れるなら、ITに関する認定試験はなんでも楽に合格できます。ShikenPASSの SnowflakeのADA-C01試験トレーニング資料は高度に認証されたIT領域の専門家の経験と創造を含めているものです。ShikenPASSは君にとって、ベストな選択だといっても良いです。
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