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ADA-C01試験の準備方法｜一番優秀なADA-C01的中関連問題試験｜権威のあるSnowPro Advanced Administrator日本語受験教科書

ちなみに、It-Passports ADA-C01の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1qUeJCxs_Ymy_-2KDzRnr8-dO4G4NfaIX

ほとんどの労働者の基準はますます高くなることがわかっているため、ADA-C01ガイドの質問にも高い目標を設定しています。市場にある他の練習教材とは異なり、当社のトレーニング教材はお客様の関心を他のポイントの前に置き、私たちをずっと高度な学習教材にコミットさせます。これまで、最も複雑なADA-C01ガイドの質問を簡素化し、簡単な操作システムを設計しました。ADA-C01試験問題の自然でシームレスなユーザーインターフェイスは、より流fluentに成長しました。使いやすさ。

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

Interpret and make recommendations for data clustering
Manage DML locking and concurrency in Snowflake

トピック 2

Given a scenario, configure access controls
Set up and manage security administration and authorization

トピック 3

Snowflake Security, Role-Based Access Control (RBAC), and User Administration
Disaster Recovery, Backup, and Data Replication

トピック 4

Set up and manage network and private connectivity
Given a scenario, manage Snowflake Time Travel and Fail-safe

トピック 5

Implement and manage data governance in Snowflake
Data Sharing, Data Exchange, and Snowflake Marketplace

トピック 6

Given a scenario, create and manage access control
Given a scenario, implement resource monitors

>> ADA-C01的中関連問題 <<

Snowflake ADA-C01試験の準備方法｜実際的なADA-C01的中関連問題試験｜ハイパスレートのSnowPro Advanced Administrator日本語受験教科書

クライアントが支払いに成功すると、システムが送信するADA-C01ガイドの質問に関するメールを受け取ることができます。これにより、テストバンクをダウンロードして、ADA-C01 STUDY教材を5〜10分で使用できます。メールはリンクを提供し、クライアントがリンクをクリックすると、クライアントはログインして学習するADA-C01学習資料を取得できます。手順は簡単で、クライアントの時間を節約できます。クライアントにとって時間は限られており、非常に重要です。当社の製品は、お客様のADA-C01練習エンジンをすぐにダウンロードして使用するというニーズを満たします。

Snowflake SnowPro Advanced Administrator 認定 ADA-C01 試験問題 (Q53-Q58):

質問 # 53
An Administrator receives data from a Snowflake partner. The partner is sharing a dataset that contains multiple secure views. The Administrator would like to configure the data so that only certain roles can see certain secure views.
How can this be accomplished?

A. Clone the data and insert it into a company-owned share and apply the desired RBAC on the new tables.
B. Individually grant imported privileges onto the schema in the share.
C. Apply RBAC directly onto the partner's shared secure views.
D. Create views over the incoming shared database and apply the desired RBAC onto these views.

正解：D

解説：
Explanation
According to the Snowflake documentation1, secure views are only exposed to authorized users who have been granted the role that owns the view. Therefore, applying RBAC directly onto the partner's shared secure views (option A) is not possible, as the administrator does not own those views. Individually granting imported privileges onto the schema in the share (option B) is also not feasible, as the privileges granted on the schema do not apply to existing secure views, only tofuture ones2. Cloning the data and inserting it into a company-owned share (option C) is not recommended, as it would create unnecessary duplication of data and increase storage costs. The best option is to create views over the incoming shared database and apply the desired RBAC onto these views (option D). This way, the administrator can control the access to the data based on the roles in their account, without modifying the original data or views from the partner.

質問 # 54
When a role is dropped, which role inherits ownership of objects owned by the dropped role?

A. The role executing the command
B. The role above the dropped role in the RBAC hierarchy
C. The SECURITYADMIN role
D. The SYSADMIN role

正解：B

解説：
According to the Snowflake documentation1, when a role is dropped, ownership of all objects owned by the dropped role is transferred to the role that is directly above the dropped role in the role hierarchy. This is to ensure that there is always a single owner for each object in the system.
1: Drop Role | Snowflake Documentation

質問 # 55
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 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.
B. 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.
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 and auto-resume.Have users in the ANALYST role select the appropriate warehouse based on how many queries are being run.

正解：A

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 # 56
A Snowflake Administrator wants to create a virtual warehouse that supports several dashboards, issuing various queries on the same database.
For this warehouse, why should the Administrator consider setting AUTO_SUSPEND to 0 or NULL?

A. To save costs on warehouse shutdowns and startups for different queries
B. To keep the query result cache warm for good performance on repeated queries
C. To keep the data cache warm to support good performance of similar queries
D. To save costs by running the warehouse as little as possible

正解：C

質問 # 57
A Snowflake Administrator is investigating why a query is not re-using the persisted result cache.
The Administrator found the two relevant queries from the SNOWFLAKE. ACCOUNT_USAGE. QUERY_HISTORY view:

Why is the second query re-scanning micro-partitions instead of using the first query's persisted result cache?

A. The queries are executed with two different roles.
B. The queries are executed with two different virtual warehouses.
C. The second query includes a CURRENT_DATE () function.
D. The second query includes a CURRENT_TIMESTAMP () function.

正解：D

解説：
The inclusion of the CURRENT_TIMESTAMP() function in the second query prevents it from re-using the first query's persisted result cache because this function makes each execution unique due to the constantly changing timestamp. According to the Snowflake documentation, "The query does not include non-reusable functions, which return different results for successive runs of the same query. UUID_STRING, RANDOM, and RANDSTR are good examples of non-reusable functions." The CURRENT_TIMESTAMP() function is another example of a non-reusable function, as it returns the current date and time at the start of query execution, which varies for each run. Therefore, the second query is not identical to the first query, and the result cache is not reused. The other options are either incorrect or irrelevant to the question. Option B is incorrect, as the CURRENT_DATE() function is a reusable function, as it returns the same value for all queries executed within the same day. Option C is irrelevant, as the virtual warehouse used to execute the query does not affect the result cache reuse. Option D is also irrelevant, as the role used to execute the query does not affect the result cache reuse, as long as the role has the necessary access privileges for all the tables used in the query.

質問 # 58
......

当社は、教材を担当しています。 It-Passportsが顧客に販売したすべての製品は、Snowflake思いやりのあるアフターサービスをお楽しみいただけます。インストール、操作などの学習資料に問題がある場合は、オンラインワーカーがメールをSnowPro Advanced Administrator受信した後、すぐに返信します。私たちはトラブルを恐れていません。 ADA-C01ご質問やご提案をお待ちしております。問題の解決にお役立てください。

ADA-C01日本語受験教科書: https://www.it-passports.com/ADA-C01.html

ちなみに、It-Passports ADA-C01の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1qUeJCxs_Ymy_-2KDzRnr8-dO4G4NfaIX